{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis\statalog.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}28 Dec 2017, 15:14:38
{txt}
{com}. 
. cd "C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"
{res}C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis
{txt}
{com}. 
. use MPCareer.dta
{txt}(Written by R.              )

{com}. 
. 
. ***************************************************************************
. **Descriptive Statistics***************************************************
. ***************************************************************************
. 
. summarize gender state_school job age_at_entry

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}gender {c |}{res}        727    .2654746    .4418896          0          1
{txt}state_school {c |}{res}        697    .6140603    .4871661          0          1
{txt}{space 9}job {c |}{res}        727    .2984869    .4579093          0          1
{txt}age_at_entry {c |}{res}        725    43.27862    8.099836         25         69
{txt}
{com}. 
. tab clust5

     {txt}clust5 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
   Career 1 {c |}{res}        256       35.21       35.21
{txt}   Career 2 {c |}{res}        166       22.83       58.05
{txt}   Career 3 {c |}{res}         87       11.97       70.01
{txt}   Career 4 {c |}{res}        160       22.01       92.02
{txt}   Career 5 {c |}{res}         58        7.98      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        727      100.00
{txt}
{com}. tab uni 

        {txt}uni {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         83       11.42       11.42
{txt}          1 {c |}{res}        407       55.98       67.40
{txt}          2 {c |}{res}        237       32.60      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        727      100.00
{txt}
{com}. tab legislature

{txt}legislature {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        280       38.51       38.51
{txt}          1 {c |}{res}         90       12.38       50.89
{txt}          2 {c |}{res}        123       16.92       67.81
{txt}          3 {c |}{res}        234       32.19      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        727      100.00
{txt}
{com}. *descr stats table for party uni and legislature manually created
. 
. ***************************************************************************
. **Analysis*****************************************************************
. ***************************************************************************
. 
. foreach y in  clust5 clust4 clust3 clust6 clust7 clust8 {c -(}
{txt}  2{com}. 
. 
. 
. mlogit  `y'  gender state_school job age_at_entry i.uni , vce(robust) base(1)
{txt}  3{com}. outreg2 using MPCareer_`y',label replace ctitle (Multinomial Analysis) tex(frag)
{txt}  4{com}. mlogit  `y'  gender state_school job age_at_entry i.uni i.party_n byelections , vce(robust) base(1)
{txt}  5{com}. outreg2 using MPCareer_`y',label append ctitle (Multinomial Analysis) tex(frag)
{txt}  6{com}. mlogit  `y'  gender state_school job age_at_entry i.uni i.party_n byelections i.legislature  , vce(robust) base(1)
{txt}  7{com}. outreg2 using MPCareer_`y',label append ctitle (Multinomial Analysis) tex(frag)
{txt}  8{com}. 
. {c )-}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1047.0104}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1029.7253}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1029.5625}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1029.5624}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1029.5624}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       695
{txt}{col 49}Wald chi2({res}24{txt}){col 67}= {res}     33.27
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0984
{txt}Log pseudolikelihood = {res}-1029.5624{txt}{col 49}Pseudo R2{col 67}= {res}    0.0167

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust5{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.2245473{col 26}{space 2}  .238396{col 37}{space 1}   -0.94{col 46}{space 3}0.346{col 54}{space 4}-.6917949{col 67}{space 3} .2427002
{txt}state_school {c |}{col 14}{res}{space 2} .1078484{col 26}{space 2} .2145389{col 37}{space 1}    0.50{col 46}{space 3}0.615{col 54}{space 4}-.3126401{col 67}{space 3} .5283369
{txt}{space 9}job {c |}{col 14}{res}{space 2}  .020092{col 26}{space 2} .2272542{col 37}{space 1}    0.09{col 46}{space 3}0.930{col 54}{space 4} -.425318{col 67}{space 3}  .465502
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0048898{col 26}{space 2}  .013634{col 37}{space 1}    0.36{col 46}{space 3}0.720{col 54}{space 4}-.0218324{col 67}{space 3} .0316119
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .1322748{col 26}{space 2} .3159362{col 37}{space 1}    0.42{col 46}{space 3}0.675{col 54}{space 4}-.4869488{col 67}{space 3} .7514984
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0120518{col 26}{space 2}  .351509{col 37}{space 1}    0.03{col 46}{space 3}0.973{col 54}{space 4}-.6768932{col 67}{space 3} .7009968
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.6772705{col 26}{space 2} .7272834{col 37}{space 1}   -0.93{col 46}{space 3}0.352{col 54}{space 4} -2.10272{col 67}{space 3} .7481789
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.1791951{col 26}{space 2} .2936582{col 37}{space 1}   -0.61{col 46}{space 3}0.542{col 54}{space 4}-.7547546{col 67}{space 3} .3963643
{txt}state_school {c |}{col 14}{res}{space 2}-.0832675{col 26}{space 2} .2660445{col 37}{space 1}   -0.31{col 46}{space 3}0.754{col 54}{space 4}-.6047051{col 67}{space 3} .4381701
{txt}{space 9}job {c |}{col 14}{res}{space 2} .0035692{col 26}{space 2} .2734957{col 37}{space 1}    0.01{col 46}{space 3}0.990{col 54}{space 4}-.5324725{col 67}{space 3} .5396109
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0371907{col 26}{space 2} .0186769{col 37}{space 1}   -1.99{col 46}{space 3}0.046{col 54}{space 4}-.0737968{col 67}{space 3}-.0005846
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}   .61873{col 26}{space 2} .4773838{col 37}{space 1}    1.30{col 46}{space 3}0.195{col 54}{space 4}-.3169249{col 67}{space 3} 1.554385
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .7040702{col 26}{space 2} .4976171{col 37}{space 1}    1.41{col 46}{space 3}0.157{col 54}{space 4}-.2712415{col 67}{space 3} 1.679382
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .0758898{col 26}{space 2} .9299928{col 37}{space 1}    0.08{col 46}{space 3}0.935{col 54}{space 4}-1.746863{col 67}{space 3} 1.898642
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.4846937{col 26}{space 2} .2452043{col 37}{space 1}   -1.98{col 46}{space 3}0.048{col 54}{space 4}-.9652853{col 67}{space 3}-.0041021
{txt}state_school {c |}{col 14}{res}{space 2}  .467656{col 26}{space 2} .2213154{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0338858{col 67}{space 3} .9014262
{txt}{space 9}job {c |}{col 14}{res}{space 2}  .034923{col 26}{space 2} .2317176{col 37}{space 1}    0.15{col 46}{space 3}0.880{col 54}{space 4}-.4192351{col 67}{space 3} .4890811
{txt}age_at_entry {c |}{col 14}{res}{space 2}  .018762{col 26}{space 2} .0126212{col 37}{space 1}    1.49{col 46}{space 3}0.137{col 54}{space 4} -.005975{col 67}{space 3}  .043499
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .5119189{col 26}{space 2} .3531929{col 37}{space 1}    1.45{col 46}{space 3}0.147{col 54}{space 4}-.1803265{col 67}{space 3} 1.204164
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .9918974{col 26}{space 2} .3740471{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4} .2587786{col 67}{space 3} 1.725016
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.025061{col 26}{space 2} .6915112{col 37}{space 1}   -2.93{col 46}{space 3}0.003{col 54}{space 4}-3.380398{col 67}{space 3}-.6697242
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_5     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.5369057{col 26}{space 2} .3610447{col 37}{space 1}   -1.49{col 46}{space 3}0.137{col 54}{space 4} -1.24454{col 67}{space 3} .1707288
{txt}state_school {c |}{col 14}{res}{space 2}-.0456632{col 26}{space 2}   .30833{col 37}{space 1}   -0.15{col 46}{space 3}0.882{col 54}{space 4} -.649979{col 67}{space 3} .5586525
{txt}{space 9}job {c |}{col 14}{res}{space 2} .0918298{col 26}{space 2} .3273553{col 37}{space 1}    0.28{col 46}{space 3}0.779{col 54}{space 4}-.5497749{col 67}{space 3} .7334345
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0057738{col 26}{space 2} .0160218{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0371759{col 67}{space 3} .0256283
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0463915{col 26}{space 2} .4749222{col 37}{space 1}   -0.10{col 46}{space 3}0.922{col 54}{space 4} -.977222{col 67}{space 3} .8844389
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .5870889{col 26}{space 2} .4812021{col 37}{space 1}    1.22{col 46}{space 3}0.222{col 54}{space 4}-.3560498{col 67}{space 3} 1.530228
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-1.194457{col 26}{space 2}  .887913{col 37}{space 1}   -1.35{col 46}{space 3}0.179{col 54}{space 4}-2.934735{col 67}{space 3} .5458202
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_clust5.tex"'"':MPCareer_clust5.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_clust5.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1047.0104}  
Iteration 1:{space 3}log pseudolikelihood = {res: -952.7995}  
Iteration 2:{space 3}log pseudolikelihood = {res:-925.55261}  
Iteration 3:{space 3}log pseudolikelihood = {res: -924.1434}  
Iteration 4:{space 3}log pseudolikelihood = {res:-923.93856}  
Iteration 5:{space 3}log pseudolikelihood = {res:-923.90365}  
Iteration 6:{space 3}log pseudolikelihood = {res:-923.89551}  
Iteration 7:{space 3}log pseudolikelihood = {res:-923.89354}  
Iteration 8:{space 3}log pseudolikelihood = {res:-923.89313}  
Iteration 9:{space 3}log pseudolikelihood = {res:-923.89305}  
Iteration 10:{space 2}log pseudolikelihood = {res:-923.89303}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       695
{txt}{col 49}Wald chi2({res}36{txt}){col 67}= {res}   4010.79
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-923.89303{txt}{col 49}Pseudo R2{col 67}= {res}    0.1176

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust5{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.5201758{col 26}{space 2} .2538236{col 37}{space 1}   -2.05{col 46}{space 3}0.040{col 54}{space 4}-1.017661{col 67}{space 3}-.0226906
{txt}state_school {c |}{col 14}{res}{space 2} -.285843{col 26}{space 2} .2374276{col 37}{space 1}   -1.20{col 46}{space 3}0.229{col 54}{space 4}-.7511926{col 67}{space 3} .1795066
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1148213{col 26}{space 2} .2308673{col 37}{space 1}   -0.50{col 46}{space 3}0.619{col 54}{space 4} -.567313{col 67}{space 3} .3376704
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0028177{col 26}{space 2} .0146899{col 37}{space 1}    0.19{col 46}{space 3}0.848{col 54}{space 4}-.0259741{col 67}{space 3} .0316094
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  .165933{col 26}{space 2} .3278571{col 37}{space 1}    0.51{col 46}{space 3}0.613{col 54}{space 4}-.4766551{col 67}{space 3} .8085212
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0734019{col 26}{space 2}  .370023{col 37}{space 1}   -0.20{col 46}{space 3}0.843{col 54}{space 4}-.7986337{col 67}{space 3} .6518299
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.6034232{col 26}{space 2} .4537159{col 37}{space 1}   -1.33{col 46}{space 3}0.184{col 54}{space 4} -1.49269{col 67}{space 3} .2858437
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.438822{col 26}{space 2} .2526886{col 37}{space 1}   -5.69{col 46}{space 3}0.000{col 54}{space 4}-1.934082{col 67}{space 3}-.9435615
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .0327781{col 26}{space 2} .5837652{col 37}{space 1}    0.06{col 46}{space 3}0.955{col 54}{space 4}-1.111381{col 67}{space 3} 1.176937
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5310157{col 26}{space 2} .7859807{col 37}{space 1}    0.68{col 46}{space 3}0.499{col 54}{space 4}-1.009478{col 67}{space 3}  2.07151
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.0581044{col 26}{space 2} .3474964{col 37}{space 1}   -0.17{col 46}{space 3}0.867{col 54}{space 4}-.7391849{col 67}{space 3} .6229761
{txt}state_school {c |}{col 14}{res}{space 2}-.4452593{col 26}{space 2} .3163798{col 37}{space 1}   -1.41{col 46}{space 3}0.159{col 54}{space 4}-1.065352{col 67}{space 3} .1748338
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1532317{col 26}{space 2}  .336365{col 37}{space 1}   -0.46{col 46}{space 3}0.649{col 54}{space 4}-.8124951{col 67}{space 3} .5060317
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0497372{col 26}{space 2}  .019122{col 37}{space 1}   -2.60{col 46}{space 3}0.009{col 54}{space 4}-.0872157{col 67}{space 3}-.0122587
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .6735694{col 26}{space 2} .5242705{col 37}{space 1}    1.28{col 46}{space 3}0.199{col 54}{space 4}-.3539818{col 67}{space 3} 1.701121
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  .710599{col 26}{space 2} .5619297{col 37}{space 1}    1.26{col 46}{space 3}0.206{col 54}{space 4}-.3907629{col 67}{space 3} 1.811961
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 2.472501{col 26}{space 2} .4224364{col 37}{space 1}    5.85{col 46}{space 3}0.000{col 54}{space 4} 1.644541{col 67}{space 3} 3.300461
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.9821583{col 26}{space 2} .3839652{col 37}{space 1}   -2.56{col 46}{space 3}0.011{col 54}{space 4}-1.734716{col 67}{space 3}-.2296003
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .5938441{col 26}{space 2} .6759844{col 37}{space 1}    0.88{col 46}{space 3}0.380{col 54}{space 4}-.7310611{col 67}{space 3} 1.918749
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6334902{col 26}{space 2} 1.115452{col 37}{space 1}    0.57{col 46}{space 3}0.570{col 54}{space 4}-1.552756{col 67}{space 3} 2.819736
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.9375177{col 26}{space 2}  .266706{col 37}{space 1}   -3.52{col 46}{space 3}0.000{col 54}{space 4}-1.460252{col 67}{space 3}-.4147836
{txt}state_school {c |}{col 14}{res}{space 2}-.1375312{col 26}{space 2} .2410887{col 37}{space 1}   -0.57{col 46}{space 3}0.568{col 54}{space 4}-.6100563{col 67}{space 3} .3349938
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1684426{col 26}{space 2} .2543571{col 37}{space 1}   -0.66{col 46}{space 3}0.508{col 54}{space 4}-.6669733{col 67}{space 3} .3300882
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0167703{col 26}{space 2}  .014332{col 37}{space 1}    1.17{col 46}{space 3}0.242{col 54}{space 4}  -.01132{col 67}{space 3} .0448606
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .5516516{col 26}{space 2} .3665466{col 37}{space 1}    1.50{col 46}{space 3}0.132{col 54}{space 4}-.1667665{col 67}{space 3}  1.27007
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .8603454{col 26}{space 2} .3913254{col 37}{space 1}    2.20{col 46}{space 3}0.028{col 54}{space 4} .0933617{col 67}{space 3} 1.627329
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -1.64935{col 26}{space 2} .5653923{col 37}{space 1}   -2.92{col 46}{space 3}0.004{col 54}{space 4}-2.757499{col 67}{space 3}-.5412014
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-2.106282{col 26}{space 2} .2655839{col 37}{space 1}   -7.93{col 46}{space 3}0.000{col 54}{space 4}-2.626817{col 67}{space 3}-1.585747
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.3007656{col 26}{space 2} .5851805{col 37}{space 1}   -0.51{col 46}{space 3}0.607{col 54}{space 4}-1.447698{col 67}{space 3} .8461671
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.3418957{col 26}{space 2} .7901826{col 37}{space 1}   -0.43{col 46}{space 3}0.665{col 54}{space 4}-1.890625{col 67}{space 3} 1.206834
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_5     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-1.010431{col 26}{space 2} .3799307{col 37}{space 1}   -2.66{col 46}{space 3}0.008{col 54}{space 4}-1.755082{col 67}{space 3}-.2657807
{txt}state_school {c |}{col 14}{res}{space 2}-.5066242{col 26}{space 2} .3307182{col 37}{space 1}   -1.53{col 46}{space 3}0.126{col 54}{space 4} -1.15482{col 67}{space 3} .1415715
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1205287{col 26}{space 2} .3302398{col 37}{space 1}   -0.36{col 46}{space 3}0.715{col 54}{space 4}-.7677867{col 67}{space 3} .5267294
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0086945{col 26}{space 2} .0175932{col 37}{space 1}   -0.49{col 46}{space 3}0.621{col 54}{space 4}-.0431764{col 67}{space 3} .0257875
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0288265{col 26}{space 2} .4876143{col 37}{space 1}   -0.06{col 46}{space 3}0.953{col 54}{space 4} -.984533{col 67}{space 3}   .92688
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .4909916{col 26}{space 2} .4970223{col 37}{space 1}    0.99{col 46}{space 3}0.323{col 54}{space 4}-.4831542{col 67}{space 3} 1.465137
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  -1.4697{col 26}{space 2} .8062897{col 37}{space 1}   -1.82{col 46}{space 3}0.068{col 54}{space 4}-3.049998{col 67}{space 3} .1105993
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.767881{col 26}{space 2} .3447284{col 37}{space 1}   -5.13{col 46}{space 3}0.000{col 54}{space 4}-2.443536{col 67}{space 3}-1.092226
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-14.10856{col 26}{space 2} .4732938{col 37}{space 1}  -29.81{col 46}{space 3}0.000{col 54}{space 4} -15.0362{col 67}{space 3}-13.18093
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .3968601{col 26}{space 2} .9571595{col 37}{space 1}    0.41{col 46}{space 3}0.678{col 54}{space 4}-1.479138{col 67}{space 3} 2.272858
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_clust5.tex"'"':MPCareer_clust5.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_clust5.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1047.0104}  
Iteration 1:{space 3}log pseudolikelihood = {res:-561.34368}  
Iteration 2:{space 3}log pseudolikelihood = {res:-519.01789}  
Iteration 3:{space 3}log pseudolikelihood = {res:-499.71696}  
Iteration 4:{space 3}log pseudolikelihood = {res:-497.68431}  
Iteration 5:{space 3}log pseudolikelihood = {res:-497.17469}  
Iteration 6:{space 3}log pseudolikelihood = {res:-497.07282}  
Iteration 7:{space 3}log pseudolikelihood = {res: -497.0504}  
Iteration 8:{space 3}log pseudolikelihood = {res:-497.04539}  
Iteration 9:{space 3}log pseudolikelihood = {res:-497.04413}  
Iteration 10:{space 2}log pseudolikelihood = {res:-497.04389}  
Iteration 11:{space 2}log pseudolikelihood = {res:-497.04385}  
Iteration 12:{space 2}log pseudolikelihood = {res:-497.04384}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       695
{txt}{col 49}Wald chi2({res}48{txt}){col 67}= {res}  51748.90
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-497.04384{txt}{col 49}Pseudo R2{col 67}= {res}    0.5253

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust5{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.3488005{col 26}{space 2} .5479724{col 37}{space 1}   -0.64{col 46}{space 3}0.524{col 54}{space 4}-1.422807{col 67}{space 3} .7252056
{txt}state_school {c |}{col 14}{res}{space 2}-.7276566{col 26}{space 2} .4744741{col 37}{space 1}   -1.53{col 46}{space 3}0.125{col 54}{space 4}-1.657609{col 67}{space 3} .2022956
{txt}{space 9}job {c |}{col 14}{res}{space 2} .7439914{col 26}{space 2} .5578999{col 37}{space 1}    1.33{col 46}{space 3}0.182{col 54}{space 4}-.3494724{col 67}{space 3} 1.837455
{txt}age_at_entry {c |}{col 14}{res}{space 2} -.039516{col 26}{space 2} .0375732{col 37}{space 1}   -1.05{col 46}{space 3}0.293{col 54}{space 4}-.1131581{col 67}{space 3} .0341262
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.4156012{col 26}{space 2} .7441121{col 37}{space 1}   -0.56{col 46}{space 3}0.576{col 54}{space 4}-1.874034{col 67}{space 3} 1.042832
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.052483{col 26}{space 2}  .795308{col 37}{space 1}   -1.32{col 46}{space 3}0.186{col 54}{space 4}-2.611258{col 67}{space 3} .5062924
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.897706{col 26}{space 2} .7858706{col 37}{space 1}   -2.41{col 46}{space 3}0.016{col 54}{space 4}-3.437984{col 67}{space 3}-.3574276
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.301522{col 26}{space 2} .5745935{col 37}{space 1}   -2.27{col 46}{space 3}0.024{col 54}{space 4}-2.427704{col 67}{space 3}-.1753392
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.0786383{col 26}{space 2}  1.35981{col 37}{space 1}   -0.06{col 46}{space 3}0.954{col 54}{space 4}-2.743817{col 67}{space 3} 2.586541
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.5243283{col 26}{space 2} .5742236{col 37}{space 1}   -0.91{col 46}{space 3}0.361{col 54}{space 4}-1.649786{col 67}{space 3} .6011291
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 3.712392{col 26}{space 2} 1.093387{col 37}{space 1}    3.40{col 46}{space 3}0.001{col 54}{space 4} 1.569393{col 67}{space 3} 5.855391
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-21.28178{col 26}{space 2}  .468905{col 37}{space 1}  -45.39{col 46}{space 3}0.000{col 54}{space 4}-22.20082{col 67}{space 3}-20.36275
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.579338{col 26}{space 2} 1.921381{col 37}{space 1}    2.38{col 46}{space 3}0.017{col 54}{space 4} .8135014{col 67}{space 3} 8.345175
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} .3297306{col 26}{space 2}  .549907{col 37}{space 1}    0.60{col 46}{space 3}0.549{col 54}{space 4}-.7480674{col 67}{space 3} 1.407529
{txt}state_school {c |}{col 14}{res}{space 2}-.7825017{col 26}{space 2} .4777666{col 37}{space 1}   -1.64{col 46}{space 3}0.101{col 54}{space 4}-1.718907{col 67}{space 3} .1539036
{txt}{space 9}job {c |}{col 14}{res}{space 2} .5273817{col 26}{space 2} .5973125{col 37}{space 1}    0.88{col 46}{space 3}0.377{col 54}{space 4}-.6433292{col 67}{space 3} 1.698093
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.1015701{col 26}{space 2} .0383482{col 37}{space 1}   -2.65{col 46}{space 3}0.008{col 54}{space 4}-.1767312{col 67}{space 3} -.026409
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .1595111{col 26}{space 2} .7940217{col 37}{space 1}    0.20{col 46}{space 3}0.841{col 54}{space 4}-1.396743{col 67}{space 3} 1.715765
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.1950813{col 26}{space 2}  .842086{col 37}{space 1}   -0.23{col 46}{space 3}0.817{col 54}{space 4}-1.845539{col 67}{space 3} 1.455377
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.642688{col 26}{space 2} .7007283{col 37}{space 1}    2.34{col 46}{space 3}0.019{col 54}{space 4} .2692854{col 67}{space 3}  3.01609
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2641235{col 26}{space 2} .6053395{col 37}{space 1}   -0.44{col 46}{space 3}0.663{col 54}{space 4}-1.450567{col 67}{space 3} .9223202
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .4399882{col 26}{space 2} 1.534917{col 37}{space 1}    0.29{col 46}{space 3}0.774{col 54}{space 4}-2.568394{col 67}{space 3}  3.44837
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.6506678{col 26}{space 2} .5603479{col 37}{space 1}   -1.16{col 46}{space 3}0.246{col 54}{space 4} -1.74893{col 67}{space 3}  .447594
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.860096{col 26}{space 2} 1.180836{col 37}{space 1}    1.58{col 46}{space 3}0.115{col 54}{space 4}-.4542997{col 67}{space 3} 4.174493
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-6.030681{col 26}{space 2}  1.04611{col 37}{space 1}   -5.76{col 46}{space 3}0.000{col 54}{space 4}-8.081018{col 67}{space 3}-3.980344
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 5.460676{col 26}{space 2} 1.941963{col 37}{space 1}    2.81{col 46}{space 3}0.005{col 54}{space 4} 1.654499{col 67}{space 3} 9.266854
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.1977516{col 26}{space 2} .5179236{col 37}{space 1}   -0.38{col 46}{space 3}0.703{col 54}{space 4}-1.212863{col 67}{space 3} .8173601
{txt}state_school {c |}{col 14}{res}{space 2}-.1920899{col 26}{space 2} .4460555{col 37}{space 1}   -0.43{col 46}{space 3}0.667{col 54}{space 4}-1.066343{col 67}{space 3} .6821628
{txt}{space 9}job {c |}{col 14}{res}{space 2} .5678309{col 26}{space 2} .5179357{col 37}{space 1}    1.10{col 46}{space 3}0.273{col 54}{space 4}-.4473043{col 67}{space 3} 1.582966
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0346563{col 26}{space 2} .0354937{col 37}{space 1}   -0.98{col 46}{space 3}0.329{col 54}{space 4}-.1042227{col 67}{space 3} .0349102
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -.001139{col 26}{space 2} .7616803{col 37}{space 1}   -0.00{col 46}{space 3}0.999{col 54}{space 4}-1.494005{col 67}{space 3} 1.491727
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2281573{col 26}{space 2} .7899004{col 37}{space 1}   -0.29{col 46}{space 3}0.773{col 54}{space 4}-1.776334{col 67}{space 3} 1.320019
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -2.26296{col 26}{space 2} .7575416{col 37}{space 1}   -2.99{col 46}{space 3}0.003{col 54}{space 4}-3.747715{col 67}{space 3}-.7782061
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.7757626{col 26}{space 2} .5112174{col 37}{space 1}   -1.52{col 46}{space 3}0.129{col 54}{space 4} -1.77773{col 67}{space 3}  .226205
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} -.125816{col 26}{space 2} 1.314456{col 37}{space 1}   -0.10{col 46}{space 3}0.924{col 54}{space 4}-2.702103{col 67}{space 3} 2.450471
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  -.17346{col 26}{space 2} .5102637{col 37}{space 1}   -0.34{col 46}{space 3}0.734{col 54}{space 4}-1.173558{col 67}{space 3} .8266384
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-17.31383{col 26}{space 2} 1.059917{col 37}{space 1}  -16.34{col 46}{space 3}0.000{col 54}{space 4}-19.39123{col 67}{space 3}-15.23643
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-22.15861{col 26}{space 2} .4367126{col 37}{space 1}  -50.74{col 46}{space 3}0.000{col 54}{space 4}-23.01455{col 67}{space 3}-21.30267
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.192453{col 26}{space 2} 1.791436{col 37}{space 1}    2.34{col 46}{space 3}0.019{col 54}{space 4} .6813036{col 67}{space 3} 7.703603
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_5     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.5857882{col 26}{space 2} .6019806{col 37}{space 1}   -0.97{col 46}{space 3}0.331{col 54}{space 4}-1.765648{col 67}{space 3}  .594072
{txt}state_school {c |}{col 14}{res}{space 2}-.5585475{col 26}{space 2} .5225691{col 37}{space 1}   -1.07{col 46}{space 3}0.285{col 54}{space 4}-1.582764{col 67}{space 3} .4656691
{txt}{space 9}job {c |}{col 14}{res}{space 2} .7526573{col 26}{space 2} .6001699{col 37}{space 1}    1.25{col 46}{space 3}0.210{col 54}{space 4}-.4236541{col 67}{space 3} 1.928969
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0828271{col 26}{space 2} .0376706{col 37}{space 1}   -2.20{col 46}{space 3}0.028{col 54}{space 4}-.1566601{col 67}{space 3}-.0089941
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.5343583{col 26}{space 2} .8234438{col 37}{space 1}   -0.65{col 46}{space 3}0.516{col 54}{space 4}-2.148278{col 67}{space 3} 1.079562
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.6460382{col 26}{space 2} .8578251{col 37}{space 1}   -0.75{col 46}{space 3}0.451{col 54}{space 4}-2.327344{col 67}{space 3} 1.035268
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.799731{col 26}{space 2} .9249718{col 37}{space 1}   -1.95{col 46}{space 3}0.052{col 54}{space 4}-3.612642{col 67}{space 3} .0131807
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .1019698{col 26}{space 2} .5881068{col 37}{space 1}    0.17{col 46}{space 3}0.862{col 54}{space 4}-1.050698{col 67}{space 3} 1.254638
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-17.79375{col 26}{space 2} 1.299253{col 37}{space 1}  -13.70{col 46}{space 3}0.000{col 54}{space 4}-20.34024{col 67}{space 3}-15.24726
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -19.8659{col 26}{space 2} .5297242{col 37}{space 1}  -37.50{col 46}{space 3}0.000{col 54}{space 4}-20.90414{col 67}{space 3}-18.82766
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-18.11282{col 26}{space 2} 1.079447{col 37}{space 1}  -16.78{col 46}{space 3}0.000{col 54}{space 4} -20.2285{col 67}{space 3}-15.99715
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  -23.126{col 26}{space 2} .5825452{col 37}{space 1}  -39.70{col 46}{space 3}0.000{col 54}{space 4}-24.26777{col 67}{space 3}-21.98423
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 6.230171{col 26}{space 2} 1.928721{col 37}{space 1}    3.23{col 46}{space 3}0.001{col 54}{space 4} 2.449948{col 67}{space 3} 10.01039
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_clust5.tex"'"':MPCareer_clust5.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_clust5.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-921.97475}  
Iteration 1:{space 3}log pseudolikelihood = {res: -907.1872}  
Iteration 2:{space 3}log pseudolikelihood = {res:-907.05988}  
Iteration 3:{space 3}log pseudolikelihood = {res:-907.05967}  
Iteration 4:{space 3}log pseudolikelihood = {res:-907.05967}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       695
{txt}{col 49}Wald chi2({res}18{txt}){col 67}= {res}     27.01
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0789
{txt}Log pseudolikelihood = {res}-907.05967{txt}{col 49}Pseudo R2{col 67}= {res}    0.0162

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust4{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} -.224617{col 26}{space 2} .2384416{col 37}{space 1}   -0.94{col 46}{space 3}0.346{col 54}{space 4} -.691954{col 67}{space 3}   .24272
{txt}state_school {c |}{col 14}{res}{space 2} .1075192{col 26}{space 2}  .214501{col 37}{space 1}    0.50{col 46}{space 3}0.616{col 54}{space 4}-.3128949{col 67}{space 3} .5279334
{txt}{space 9}job {c |}{col 14}{res}{space 2} .0201631{col 26}{space 2} .2272528{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4}-.4252441{col 67}{space 3} .4655703
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0048614{col 26}{space 2} .0136102{col 37}{space 1}    0.36{col 46}{space 3}0.721{col 54}{space 4}-.0218142{col 67}{space 3} .0315369
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .1318033{col 26}{space 2} .3155933{col 37}{space 1}    0.42{col 46}{space 3}0.676{col 54}{space 4}-.4867481{col 67}{space 3} .7503548
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  .011716{col 26}{space 2} .3513181{col 37}{space 1}    0.03{col 46}{space 3}0.973{col 54}{space 4}-.6768548{col 67}{space 3} .7002867
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.6754713{col 26}{space 2} .7246814{col 37}{space 1}   -0.93{col 46}{space 3}0.351{col 54}{space 4}-2.095821{col 67}{space 3} .7448781
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.1792159{col 26}{space 2} .2936942{col 37}{space 1}   -0.61{col 46}{space 3}0.542{col 54}{space 4} -.754846{col 67}{space 3} .3964141
{txt}state_school {c |}{col 14}{res}{space 2}-.0821034{col 26}{space 2} .2659381{col 37}{space 1}   -0.31{col 46}{space 3}0.758{col 54}{space 4}-.6033324{col 67}{space 3} .4391256
{txt}{space 9}job {c |}{col 14}{res}{space 2} .0033884{col 26}{space 2} .2734648{col 37}{space 1}    0.01{col 46}{space 3}0.990{col 54}{space 4}-.5325927{col 67}{space 3} .5393695
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0371337{col 26}{space 2} .0186437{col 37}{space 1}   -1.99{col 46}{space 3}0.046{col 54}{space 4}-.0736747{col 67}{space 3}-.0005927
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .6210045{col 26}{space 2}  .477018{col 37}{space 1}    1.30{col 46}{space 3}0.193{col 54}{space 4}-.3139337{col 67}{space 3} 1.555943
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .7054583{col 26}{space 2} .4974189{col 37}{space 1}    1.42{col 46}{space 3}0.156{col 54}{space 4}-.2694648{col 67}{space 3} 1.680381
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .0711178{col 26}{space 2} .9266211{col 37}{space 1}    0.08{col 46}{space 3}0.939{col 54}{space 4}-1.745026{col 67}{space 3} 1.887262
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} -.496774{col 26}{space 2} .2244687{col 37}{space 1}   -2.21{col 46}{space 3}0.027{col 54}{space 4}-.9367247{col 67}{space 3}-.0568234
{txt}state_school {c |}{col 14}{res}{space 2}  .321585{col 26}{space 2} .2011026{col 37}{space 1}    1.60{col 46}{space 3}0.110{col 54}{space 4}-.0725688{col 67}{space 3} .7157389
{txt}{space 9}job {c |}{col 14}{res}{space 2} .0502163{col 26}{space 2} .2125193{col 37}{space 1}    0.24{col 46}{space 3}0.813{col 54}{space 4}-.3663138{col 67}{space 3} .4667465
{txt}age_at_entry {c |}{col 14}{res}{space 2}  .012222{col 26}{space 2} .0116438{col 37}{space 1}    1.05{col 46}{space 3}0.294{col 54}{space 4}-.0105994{col 67}{space 3} .0350434
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3525207{col 26}{space 2} .3123409{col 37}{space 1}    1.13{col 46}{space 3}0.259{col 54}{space 4}-.2596563{col 67}{space 3} .9646976
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .8732276{col 26}{space 2} .3303183{col 37}{space 1}    2.64{col 46}{space 3}0.008{col 54}{space 4} .2258157{col 67}{space 3}  1.52064
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-1.196932{col 26}{space 2} .6280128{col 37}{space 1}   -1.91{col 46}{space 3}0.057{col 54}{space 4}-2.427815{col 67}{space 3}   .03395
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_clust4.tex"'"':MPCareer_clust4.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_clust4.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-921.97475}  
Iteration 1:{space 3}log pseudolikelihood = {res:-832.52321}  
Iteration 2:{space 3}log pseudolikelihood = {res:-805.72699}  
Iteration 3:{space 3}log pseudolikelihood = {res:-804.76434}  
Iteration 4:{space 3}log pseudolikelihood = {res:-804.75072}  
Iteration 5:{space 3}log pseudolikelihood = {res:-804.75071}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       695
{txt}{col 49}Wald chi2({res}27{txt}){col 67}= {res}    210.62
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-804.75071{txt}{col 49}Pseudo R2{col 67}= {res}    0.1271

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust4{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.5205464{col 26}{space 2}  .253917{col 37}{space 1}   -2.05{col 46}{space 3}0.040{col 54}{space 4}-1.018215{col 67}{space 3}-.0228782
{txt}state_school {c |}{col 14}{res}{space 2}-.2894242{col 26}{space 2} .2378112{col 37}{space 1}   -1.22{col 46}{space 3}0.224{col 54}{space 4}-.7555255{col 67}{space 3} .1766772
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1141093{col 26}{space 2} .2307088{col 37}{space 1}   -0.49{col 46}{space 3}0.621{col 54}{space 4}-.5662904{col 67}{space 3} .3380717
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0026374{col 26}{space 2} .0146583{col 37}{space 1}    0.18{col 46}{space 3}0.857{col 54}{space 4}-.0260923{col 67}{space 3} .0313672
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}   .16167{col 26}{space 2} .3271422{col 37}{space 1}    0.49{col 46}{space 3}0.621{col 54}{space 4} -.479517{col 67}{space 3}  .802857
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0760946{col 26}{space 2} .3696333{col 37}{space 1}   -0.21{col 46}{space 3}0.837{col 54}{space 4}-.8005625{col 67}{space 3} .6483733
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.6038705{col 26}{space 2}  .453813{col 37}{space 1}   -1.33{col 46}{space 3}0.183{col 54}{space 4}-1.493328{col 67}{space 3} .2855866
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.440455{col 26}{space 2} .2530993{col 37}{space 1}   -5.69{col 46}{space 3}0.000{col 54}{space 4}-1.936521{col 67}{space 3}-.9443894
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .0288789{col 26}{space 2} .5821684{col 37}{space 1}    0.05{col 46}{space 3}0.960{col 54}{space 4} -1.11215{col 67}{space 3} 1.169908
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5451799{col 26}{space 2} .7830369{col 37}{space 1}    0.70{col 46}{space 3}0.486{col 54}{space 4}-.9895441{col 67}{space 3} 2.079904
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.0585763{col 26}{space 2} .3475954{col 37}{space 1}   -0.17{col 46}{space 3}0.866{col 54}{space 4}-.7398506{col 67}{space 3} .6226981
{txt}state_school {c |}{col 14}{res}{space 2} -.446169{col 26}{space 2} .3169514{col 37}{space 1}   -1.41{col 46}{space 3}0.159{col 54}{space 4}-1.067382{col 67}{space 3} .1750443
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1526563{col 26}{space 2} .3361883{col 37}{space 1}   -0.45{col 46}{space 3}0.650{col 54}{space 4}-.8115734{col 67}{space 3} .5062607
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0497667{col 26}{space 2} .0190892{col 37}{space 1}   -2.61{col 46}{space 3}0.009{col 54}{space 4}-.0871809{col 67}{space 3}-.0123525
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .6732375{col 26}{space 2} .5242051{col 37}{space 1}    1.28{col 46}{space 3}0.199{col 54}{space 4}-.3541856{col 67}{space 3} 1.700661
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .7099651{col 26}{space 2}  .561689{col 37}{space 1}    1.26{col 46}{space 3}0.206{col 54}{space 4}-.3909251{col 67}{space 3} 1.810855
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 2.471089{col 26}{space 2} .4225115{col 37}{space 1}    5.85{col 46}{space 3}0.000{col 54}{space 4} 1.642981{col 67}{space 3} 3.299196
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.9842167{col 26}{space 2} .3844525{col 37}{space 1}   -2.56{col 46}{space 3}0.010{col 54}{space 4} -1.73773{col 67}{space 3}-.2307036
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .5967808{col 26}{space 2} .6755292{col 37}{space 1}    0.88{col 46}{space 3}0.377{col 54}{space 4}-.7272321{col 67}{space 3} 1.920794
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6368215{col 26}{space 2} 1.113488{col 37}{space 1}    0.57{col 46}{space 3}0.567{col 54}{space 4}-1.545575{col 67}{space 3} 2.819218
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.9571712{col 26}{space 2}  .246865{col 37}{space 1}   -3.88{col 46}{space 3}0.000{col 54}{space 4}-1.441018{col 67}{space 3}-.4733246
{txt}state_school {c |}{col 14}{res}{space 2}-.2461458{col 26}{space 2} .2217689{col 37}{space 1}   -1.11{col 46}{space 3}0.267{col 54}{space 4}-.6808048{col 67}{space 3} .1885133
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1526176{col 26}{space 2} .2311453{col 37}{space 1}   -0.66{col 46}{space 3}0.509{col 54}{space 4}-.6056541{col 67}{space 3} .3004189
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0099416{col 26}{space 2} .0133616{col 37}{space 1}    0.74{col 46}{space 3}0.457{col 54}{space 4}-.0162467{col 67}{space 3} .0361299
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3839127{col 26}{space 2} .3309957{col 37}{space 1}    1.16{col 46}{space 3}0.246{col 54}{space 4}-.2648269{col 67}{space 3} 1.032652
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .7515425{col 26}{space 2} .3526024{col 37}{space 1}    2.13{col 46}{space 3}0.033{col 54}{space 4} .0604545{col 67}{space 3}  1.44263
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.600973{col 26}{space 2} .5110365{col 37}{space 1}   -3.13{col 46}{space 3}0.002{col 54}{space 4}-2.602586{col 67}{space 3}-.5993596
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-2.005251{col 26}{space 2} .2391802{col 37}{space 1}   -8.38{col 46}{space 3}0.000{col 54}{space 4}-2.474035{col 67}{space 3}-1.536466
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.6291299{col 26}{space 2} .5731424{col 37}{space 1}   -1.10{col 46}{space 3}0.272{col 54}{space 4}-1.752468{col 67}{space 3} .4942086
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .4652494{col 26}{space 2} .7295735{col 37}{space 1}    0.64{col 46}{space 3}0.524{col 54}{space 4}-.9646885{col 67}{space 3} 1.895187
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_clust4.tex"'"':MPCareer_clust4.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_clust4.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-921.97475}  
Iteration 1:{space 3}log pseudolikelihood = {res:-457.00015}  
Iteration 2:{space 3}log pseudolikelihood = {res:-448.74159}  
Iteration 3:{space 3}log pseudolikelihood = {res:-406.00103}  
Iteration 4:{space 3}log pseudolikelihood = {res: -401.1513}  
Iteration 5:{space 3}log pseudolikelihood = {res:-400.48382}  
Iteration 6:{space 3}log pseudolikelihood = {res:-400.33446}  
Iteration 7:{space 3}log pseudolikelihood = {res:-400.30319}  
Iteration 8:{space 3}log pseudolikelihood = {res:-400.29777}  
Iteration 9:{space 3}log pseudolikelihood = {res:-400.29653}  
Iteration 10:{space 2}log pseudolikelihood = {res:-400.29622}  
Iteration 11:{space 2}log pseudolikelihood = {res:-400.29616}  
Iteration 12:{space 2}log pseudolikelihood = {res:-400.29615}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       695
{txt}{col 49}Wald chi2({res}36{txt}){col 67}= {res}  35975.31
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-400.29615{txt}{col 49}Pseudo R2{col 67}= {res}    0.5658

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust4{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.3390306{col 26}{space 2} .5463379{col 37}{space 1}   -0.62{col 46}{space 3}0.535{col 54}{space 4}-1.409833{col 67}{space 3}  .731772
{txt}state_school {c |}{col 14}{res}{space 2} -.719573{col 26}{space 2} .4736706{col 37}{space 1}   -1.52{col 46}{space 3}0.129{col 54}{space 4} -1.64795{col 67}{space 3} .2088043
{txt}{space 9}job {c |}{col 14}{res}{space 2}  .739735{col 26}{space 2} .5571999{col 37}{space 1}    1.33{col 46}{space 3}0.184{col 54}{space 4}-.3523568{col 67}{space 3} 1.831827
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0384195{col 26}{space 2} .0372385{col 37}{space 1}   -1.03{col 46}{space 3}0.302{col 54}{space 4}-.1114058{col 67}{space 3} .0345667
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.3997139{col 26}{space 2} .7405588{col 37}{space 1}   -0.54{col 46}{space 3}0.589{col 54}{space 4}-1.851182{col 67}{space 3} 1.051755
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.031058{col 26}{space 2} .7931016{col 37}{space 1}   -1.30{col 46}{space 3}0.194{col 54}{space 4}-2.585509{col 67}{space 3} .5233927
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.910905{col 26}{space 2}  .783669{col 37}{space 1}   -2.44{col 46}{space 3}0.015{col 54}{space 4}-3.446868{col 67}{space 3}-.3749423
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.306614{col 26}{space 2} .5635478{col 37}{space 1}   -2.32{col 46}{space 3}0.020{col 54}{space 4}-2.411147{col 67}{space 3}-.2020807
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.0675147{col 26}{space 2} 1.344523{col 37}{space 1}   -0.05{col 46}{space 3}0.960{col 54}{space 4}-2.702731{col 67}{space 3} 2.567702
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.5103963{col 26}{space 2} .5503698{col 37}{space 1}   -0.93{col 46}{space 3}0.354{col 54}{space 4}-1.589101{col 67}{space 3} .5683087
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 3.716483{col 26}{space 2} 1.083516{col 37}{space 1}    3.43{col 46}{space 3}0.001{col 54}{space 4}  1.59283{col 67}{space 3} 5.840136
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-20.51861{col 26}{space 2} .4555469{col 37}{space 1}  -45.04{col 46}{space 3}0.000{col 54}{space 4}-21.41146{col 67}{space 3}-19.62575
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.505463{col 26}{space 2}  1.89326{col 37}{space 1}    2.38{col 46}{space 3}0.017{col 54}{space 4}  .794741{col 67}{space 3} 8.216185
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} .3407334{col 26}{space 2} .5479543{col 37}{space 1}    0.62{col 46}{space 3}0.534{col 54}{space 4}-.7332374{col 67}{space 3} 1.414704
{txt}state_school {c |}{col 14}{res}{space 2}-.7727835{col 26}{space 2} .4782285{col 37}{space 1}   -1.62{col 46}{space 3}0.106{col 54}{space 4}-1.710094{col 67}{space 3}  .164527
{txt}{space 9}job {c |}{col 14}{res}{space 2} .5238829{col 26}{space 2} .5971991{col 37}{space 1}    0.88{col 46}{space 3}0.380{col 54}{space 4}-.6466058{col 67}{space 3} 1.694372
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.1002687{col 26}{space 2} .0380901{col 37}{space 1}   -2.63{col 46}{space 3}0.008{col 54}{space 4}-.1749238{col 67}{space 3}-.0256135
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  .162576{col 26}{space 2} .7940543{col 37}{space 1}    0.20{col 46}{space 3}0.838{col 54}{space 4}-1.393742{col 67}{space 3} 1.718894
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.1939584{col 26}{space 2} .8433234{col 37}{space 1}   -0.23{col 46}{space 3}0.818{col 54}{space 4}-1.846842{col 67}{space 3} 1.458925
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.620875{col 26}{space 2}  .697584{col 37}{space 1}    2.32{col 46}{space 3}0.020{col 54}{space 4}  .253636{col 67}{space 3} 2.988115
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2739628{col 26}{space 2} .5910905{col 37}{space 1}   -0.46{col 46}{space 3}0.643{col 54}{space 4}-1.432479{col 67}{space 3} .8845532
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .4809978{col 26}{space 2} 1.517871{col 37}{space 1}    0.32{col 46}{space 3}0.751{col 54}{space 4}-2.493975{col 67}{space 3}  3.45597
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.5990281{col 26}{space 2} .5417485{col 37}{space 1}   -1.11{col 46}{space 3}0.269{col 54}{space 4}-1.660836{col 67}{space 3} .4627793
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.876766{col 26}{space 2} 1.169845{col 37}{space 1}    1.60{col 46}{space 3}0.109{col 54}{space 4}-.4160883{col 67}{space 3}  4.16962
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-6.002692{col 26}{space 2} 1.023851{col 37}{space 1}   -5.86{col 46}{space 3}0.000{col 54}{space 4}-8.009404{col 67}{space 3}-3.995981
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 5.381485{col 26}{space 2} 1.922877{col 37}{space 1}    2.80{col 46}{space 3}0.005{col 54}{space 4} 1.612715{col 67}{space 3} 9.150254
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.3126747{col 26}{space 2} .5090551{col 37}{space 1}   -0.61{col 46}{space 3}0.539{col 54}{space 4}-1.310404{col 67}{space 3}  .685055
{txt}state_school {c |}{col 14}{res}{space 2}-.2722284{col 26}{space 2}  .435823{col 37}{space 1}   -0.62{col 46}{space 3}0.532{col 54}{space 4}-1.126426{col 67}{space 3}  .581969
{txt}{space 9}job {c |}{col 14}{res}{space 2} .6084042{col 26}{space 2} .5117469{col 37}{space 1}    1.19{col 46}{space 3}0.234{col 54}{space 4}-.3946014{col 67}{space 3}  1.61141
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0462841{col 26}{space 2} .0348514{col 37}{space 1}   -1.33{col 46}{space 3}0.184{col 54}{space 4}-.1145916{col 67}{space 3} .0220234
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -.166435{col 26}{space 2}  .734903{col 37}{space 1}   -0.23{col 46}{space 3}0.821{col 54}{space 4}-1.606818{col 67}{space 3} 1.273948
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.3144104{col 26}{space 2} .7627601{col 37}{space 1}   -0.41{col 46}{space 3}0.680{col 54}{space 4}-1.809393{col 67}{space 3} 1.180572
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-2.113351{col 26}{space 2} .6941487{col 37}{space 1}   -3.04{col 46}{space 3}0.002{col 54}{space 4}-3.473858{col 67}{space 3}-.7528449
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.5623353{col 26}{space 2} .4895812{col 37}{space 1}   -1.15{col 46}{space 3}0.251{col 54}{space 4}-1.521897{col 67}{space 3} .3972261
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.5426568{col 26}{space 2} 1.295062{col 37}{space 1}   -0.42{col 46}{space 3}0.675{col 54}{space 4}-3.080931{col 67}{space 3} 1.995617
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.7083436{col 26}{space 2} .4845953{col 37}{space 1}   -1.46{col 46}{space 3}0.144{col 54}{space 4}-1.658133{col 67}{space 3} .2414457
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-17.14939{col 26}{space 2} 1.048458{col 37}{space 1}  -16.36{col 46}{space 3}0.000{col 54}{space 4}-19.20433{col 67}{space 3}-15.09445
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-21.74784{col 26}{space 2} .4403754{col 37}{space 1}  -49.38{col 46}{space 3}0.000{col 54}{space 4}-22.61096{col 67}{space 3}-20.88472
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 5.308117{col 26}{space 2} 1.750069{col 37}{space 1}    3.03{col 46}{space 3}0.002{col 54}{space 4} 1.878045{col 67}{space 3} 8.738188
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_clust4.tex"'"':MPCareer_clust4.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_clust4.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-735.73104}  
Iteration 1:{space 3}log pseudolikelihood = {res:-725.50561}  
Iteration 2:{space 3}log pseudolikelihood = {res:-725.47536}  
Iteration 3:{space 3}log pseudolikelihood = {res:-725.47536}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       695
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     20.60
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0565
{txt}Log pseudolikelihood = {res}-725.47536{txt}{col 49}Pseudo R2{col 67}= {res}    0.0139

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust3{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.1809383{col 26}{space 2} .2270433{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4} -.625935{col 67}{space 3} .2640584
{txt}state_school {c |}{col 14}{res}{space 2} .1289014{col 26}{space 2} .2026181{col 37}{space 1}    0.64{col 46}{space 3}0.525{col 54}{space 4}-.2682229{col 67}{space 3} .5260256
{txt}{space 9}job {c |}{col 14}{res}{space 2} .0164978{col 26}{space 2} .2133721{col 37}{space 1}    0.08{col 46}{space 3}0.938{col 54}{space 4}-.4017038{col 67}{space 3} .4346994
{txt}age_at_entry {c |}{col 14}{res}{space 2}  .014349{col 26}{space 2} .0128733{col 37}{space 1}    1.11{col 46}{space 3}0.265{col 54}{space 4}-.0108822{col 67}{space 3} .0395802
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0079616{col 26}{space 2} .3057832{col 37}{space 1}    0.03{col 46}{space 3}0.979{col 54}{space 4}-.5913625{col 67}{space 3} .6072857
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.1354023{col 26}{space 2} .3381583{col 37}{space 1}   -0.40{col 46}{space 3}0.689{col 54}{space 4}-.7981805{col 67}{space 3} .5273758
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-1.306187{col 26}{space 2} .6885241{col 37}{space 1}   -1.90{col 46}{space 3}0.058{col 54}{space 4} -2.65567{col 67}{space 3} .0432949
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.4525834{col 26}{space 2} .2118964{col 37}{space 1}   -2.14{col 46}{space 3}0.033{col 54}{space 4}-.8678927{col 67}{space 3} -.037274
{txt}state_school {c |}{col 14}{res}{space 2}   .34318{col 26}{space 2} .1880991{col 37}{space 1}    1.82{col 46}{space 3}0.068{col 54}{space 4}-.0254874{col 67}{space 3} .7118474
{txt}{space 9}job {c |}{col 14}{res}{space 2} .0466529{col 26}{space 2} .1967401{col 37}{space 1}    0.24{col 46}{space 3}0.813{col 54}{space 4}-.3389506{col 67}{space 3} .4322564
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0218069{col 26}{space 2} .0107712{col 37}{space 1}    2.02{col 46}{space 3}0.043{col 54}{space 4} .0006958{col 67}{space 3}  .042918
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2294122{col 26}{space 2} .3018495{col 37}{space 1}    0.76{col 46}{space 3}0.447{col 54}{space 4}-.3622019{col 67}{space 3} .8210263
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .7269754{col 26}{space 2} .3155859{col 37}{space 1}    2.30{col 46}{space 3}0.021{col 54}{space 4} .1084385{col 67}{space 3} 1.345512
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} -1.83288{col 26}{space 2} .5841401{col 37}{space 1}   -3.14{col 46}{space 3}0.002{col 54}{space 4}-2.977773{col 67}{space 3}-.6879862
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_clust3.tex"'"':MPCareer_clust3.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_clust3.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-735.73104}  
Iteration 1:{space 3}log pseudolikelihood = {res:-669.94276}  
Iteration 2:{space 3}log pseudolikelihood = {res:-668.99567}  
Iteration 3:{space 3}log pseudolikelihood = {res:-668.99207}  
Iteration 4:{space 3}log pseudolikelihood = {res:-668.99207}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       695
{txt}{col 49}Wald chi2({res}18{txt}){col 67}= {res}    112.40
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-668.99207{txt}{col 49}Pseudo R2{col 67}= {res}    0.0907

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust3{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.5155614{col 26}{space 2} .2407383{col 37}{space 1}   -2.14{col 46}{space 3}0.032{col 54}{space 4}-.9873998{col 67}{space 3} -.043723
{txt}state_school {c |}{col 14}{res}{space 2}-.1965742{col 26}{space 2} .2246763{col 37}{space 1}   -0.87{col 46}{space 3}0.382{col 54}{space 4}-.6369317{col 67}{space 3} .2437833
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.0886112{col 26}{space 2} .2195704{col 37}{space 1}   -0.40{col 46}{space 3}0.687{col 54}{space 4}-.5189613{col 67}{space 3} .3417389
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0153515{col 26}{space 2} .0135244{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4}-.0111559{col 67}{space 3} .0418588
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0401637{col 26}{space 2} .3142712{col 37}{space 1}    0.13{col 46}{space 3}0.898{col 54}{space 4}-.5757964{col 67}{space 3} .6561239
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2071788{col 26}{space 2} .3525484{col 37}{space 1}   -0.59{col 46}{space 3}0.557{col 54}{space 4}-.8981609{col 67}{space 3} .4838034
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.824622{col 26}{space 2} .3782892{col 37}{space 1}   -4.82{col 46}{space 3}0.000{col 54}{space 4}-2.566055{col 67}{space 3}-1.083188
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.269111{col 26}{space 2} .2427338{col 37}{space 1}   -5.23{col 46}{space 3}0.000{col 54}{space 4}-1.744861{col 67}{space 3}-.7933618
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.1599786{col 26}{space 2} .5200845{col 37}{space 1}   -0.31{col 46}{space 3}0.758{col 54}{space 4}-1.179325{col 67}{space 3} .8593683
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.2324257{col 26}{space 2}  .743317{col 37}{space 1}   -0.31{col 46}{space 3}0.755{col 54}{space 4}  -1.6893{col 67}{space 3} 1.224449
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.9503374{col 26}{space 2} .2319734{col 37}{space 1}   -4.10{col 46}{space 3}0.000{col 54}{space 4}-1.404997{col 67}{space 3}-.4956779
{txt}state_school {c |}{col 14}{res}{space 2}-.1534528{col 26}{space 2} .2096662{col 37}{space 1}   -0.73{col 46}{space 3}0.464{col 54}{space 4}-.5643909{col 67}{space 3} .2574854
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1240872{col 26}{space 2} .2204871{col 37}{space 1}   -0.56{col 46}{space 3}0.574{col 54}{space 4}-.5562339{col 67}{space 3} .3080595
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0221389{col 26}{space 2} .0122169{col 37}{space 1}    1.81{col 46}{space 3}0.070{col 54}{space 4}-.0018059{col 67}{space 3} .0460837
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2706708{col 26}{space 2} .3287987{col 37}{space 1}    0.82{col 46}{space 3}0.410{col 54}{space 4}-.3737628{col 67}{space 3} .9151045
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .6290753{col 26}{space 2} .3458734{col 37}{space 1}    1.82{col 46}{space 3}0.069{col 54}{space 4}-.0488241{col 67}{space 3} 1.306975
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-2.827275{col 26}{space 2} .4416704{col 37}{space 1}   -6.40{col 46}{space 3}0.000{col 54}{space 4}-3.692933{col 67}{space 3}-1.961617
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.831728{col 26}{space 2} .2281009{col 37}{space 1}   -8.03{col 46}{space 3}0.000{col 54}{space 4}-2.278798{col 67}{space 3}-1.384659
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.8134203{col 26}{space 2} .5154134{col 37}{space 1}   -1.58{col 46}{space 3}0.115{col 54}{space 4}-1.823612{col 67}{space 3} .1967714
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.2991604{col 26}{space 2}  .687542{col 37}{space 1}   -0.44{col 46}{space 3}0.663{col 54}{space 4}-1.646718{col 67}{space 3} 1.048397
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_clust3.tex"'"':MPCareer_clust3.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_clust3.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-735.73104}  
Iteration 1:{space 3}log pseudolikelihood = {res:-390.01831}  
Iteration 2:{space 3}log pseudolikelihood = {res:-359.29363}  
Iteration 3:{space 3}log pseudolikelihood = {res:-350.56537}  
Iteration 4:{space 3}log pseudolikelihood = {res:-349.07812}  
Iteration 5:{space 3}log pseudolikelihood = {res:-348.71045}  
Iteration 6:{space 3}log pseudolikelihood = {res:  -348.643}  
Iteration 7:{space 3}log pseudolikelihood = {res:-348.62759}  
Iteration 8:{space 3}log pseudolikelihood = {res:  -348.624}  
Iteration 9:{space 3}log pseudolikelihood = {res:-348.62319}  
Iteration 10:{space 2}log pseudolikelihood = {res:-348.62301}  
Iteration 11:{space 2}log pseudolikelihood = {res:-348.62298}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       695
{txt}{col 49}Wald chi2({res}24{txt}){col 67}= {res}  37243.73
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-348.62298{txt}{col 49}Pseudo R2{col 67}= {res}    0.5262

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust3{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.5609149{col 26}{space 2} .3736414{col 37}{space 1}   -1.50{col 46}{space 3}0.133{col 54}{space 4}-1.293239{col 67}{space 3} .1714087
{txt}state_school {c |}{col 14}{res}{space 2}-.1249603{col 26}{space 2} .3254753{col 37}{space 1}   -0.38{col 46}{space 3}0.701{col 54}{space 4}-.7628802{col 67}{space 3} .5129595
{txt}{space 9}job {c |}{col 14}{res}{space 2} .2933153{col 26}{space 2} .3500056{col 37}{space 1}    0.84{col 46}{space 3}0.402{col 54}{space 4}-.3926831{col 67}{space 3} .9793137
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0381602{col 26}{space 2} .0215109{col 37}{space 1}    1.77{col 46}{space 3}0.076{col 54}{space 4}-.0040003{col 67}{space 3} .0803207
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.5805182{col 26}{space 2} .5315453{col 37}{space 1}   -1.09{col 46}{space 3}0.275{col 54}{space 4}-1.622328{col 67}{space 3} .4612914
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.9605562{col 26}{space 2} .5590232{col 37}{space 1}   -1.72{col 46}{space 3}0.086{col 54}{space 4}-2.056222{col 67}{space 3} .1351092
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -3.32389{col 26}{space 2} .5095986{col 37}{space 1}   -6.52{col 46}{space 3}0.000{col 54}{space 4}-4.322684{col 67}{space 3}-2.325095
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.039413{col 26}{space 2} .4155121{col 37}{space 1}   -2.50{col 46}{space 3}0.012{col 54}{space 4}-1.853802{col 67}{space 3}-.2250244
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.4418786{col 26}{space 2} .5587914{col 37}{space 1}   -0.79{col 46}{space 3}0.429{col 54}{space 4} -1.53709{col 67}{space 3} .6533324
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0697144{col 26}{space 2} .4295511{col 37}{space 1}   -0.16{col 46}{space 3}0.871{col 54}{space 4}-.9116191{col 67}{space 3} .7721902
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 2.095404{col 26}{space 2} .4086079{col 37}{space 1}    5.13{col 46}{space 3}0.000{col 54}{space 4} 1.294548{col 67}{space 3} 2.896261
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-18.94737{col 26}{space 2} .2941448{col 37}{space 1}  -64.42{col 46}{space 3}0.000{col 54}{space 4}-19.52389{col 67}{space 3}-18.37086
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.1995422{col 26}{space 2}   1.2472{col 37}{space 1}   -0.16{col 46}{space 3}0.873{col 54}{space 4} -2.64401{col 67}{space 3} 2.244925
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.5277459{col 26}{space 2} .3399998{col 37}{space 1}   -1.55{col 46}{space 3}0.121{col 54}{space 4}-1.194133{col 67}{space 3} .1386414
{txt}state_school {c |}{col 14}{res}{space 2} .2832983{col 26}{space 2} .3037373{col 37}{space 1}    0.93{col 46}{space 3}0.351{col 54}{space 4}-.3120159{col 67}{space 3} .8786125
{txt}{space 9}job {c |}{col 14}{res}{space 2} .1856678{col 26}{space 2} .3186209{col 37}{space 1}    0.58{col 46}{space 3}0.560{col 54}{space 4}-.4388178{col 67}{space 3} .8101533
{txt}age_at_entry {c |}{col 14}{res}{space 2}  .025694{col 26}{space 2} .0198801{col 37}{space 1}    1.29{col 46}{space 3}0.196{col 54}{space 4}-.0132704{col 67}{space 3} .0646583
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.3303829{col 26}{space 2} .5433663{col 37}{space 1}   -0.61{col 46}{space 3}0.543{col 54}{space 4}-1.395361{col 67}{space 3} .7345955
{txt}{space 10}2  {c |}{col 14}{res}{space 2} -.246149{col 26}{space 2}  .550613{col 37}{space 1}   -0.45{col 46}{space 3}0.655{col 54}{space 4}-1.325331{col 67}{space 3} .8330327
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -3.35167{col 26}{space 2} .4648994{col 37}{space 1}   -7.21{col 46}{space 3}0.000{col 54}{space 4}-4.262856{col 67}{space 3}-2.440484
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.3335738{col 26}{space 2} .3624946{col 37}{space 1}   -0.92{col 46}{space 3}0.357{col 54}{space 4} -1.04405{col 67}{space 3} .3769025
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} -.868991{col 26}{space 2} .6539103{col 37}{space 1}   -1.33{col 46}{space 3}0.184{col 54}{space 4}-2.150632{col 67}{space 3} .4126495
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.2847787{col 26}{space 2} .3423262{col 37}{space 1}   -0.83{col 46}{space 3}0.405{col 54}{space 4}-.9557257{col 67}{space 3} .3861684
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-18.44966{col 26}{space 2}  .356952{col 37}{space 1}  -51.69{col 46}{space 3}0.000{col 54}{space 4}-19.14927{col 67}{space 3}-17.75004
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-20.07181{col 26}{space 2} .2612394{col 37}{space 1}  -76.83{col 46}{space 3}0.000{col 54}{space 4}-20.58383{col 67}{space 3}-19.55979
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .8130797{col 26}{space 2} 1.109522{col 37}{space 1}    0.73{col 46}{space 3}0.464{col 54}{space 4}-1.361543{col 67}{space 3} 2.987702
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 213 observations completely determined.{txt}  Standard errors questionable.{p_end}
{stata `"shellout using `"MPCareer_clust3.tex"'"':MPCareer_clust3.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_clust3.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1105.4764}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1082.3945}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1081.5589}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1081.5561}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1081.5561}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       695
{txt}{col 49}Wald chi2({res}30{txt}){col 67}= {res}     45.97
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0313
{txt}Log pseudolikelihood = {res}-1081.5561{txt}{col 49}Pseudo R2{col 67}= {res}    0.0216

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust6{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.2252556{col 26}{space 2} .2385745{col 37}{space 1}   -0.94{col 46}{space 3}0.345{col 54}{space 4} -.692853{col 67}{space 3} .2423419
{txt}state_school {c |}{col 14}{res}{space 2} .1078023{col 26}{space 2} .2145248{col 37}{space 1}    0.50{col 46}{space 3}0.615{col 54}{space 4}-.3126587{col 67}{space 3} .5282632
{txt}{space 9}job {c |}{col 14}{res}{space 2} .0205552{col 26}{space 2} .2274554{col 37}{space 1}    0.09{col 46}{space 3}0.928{col 54}{space 4}-.4252492{col 67}{space 3} .4663595
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0050517{col 26}{space 2} .0138348{col 37}{space 1}    0.37{col 46}{space 3}0.715{col 54}{space 4}-.0220639{col 67}{space 3} .0321673
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .1328795{col 26}{space 2} .3161837{col 37}{space 1}    0.42{col 46}{space 3}0.674{col 54}{space 4}-.4868291{col 67}{space 3} .7525882
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0120577{col 26}{space 2} .3512291{col 37}{space 1}    0.03{col 46}{space 3}0.973{col 54}{space 4}-.6763387{col 67}{space 3}  .700454
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.6845825{col 26}{space 2} .7352705{col 37}{space 1}   -0.93{col 46}{space 3}0.352{col 54}{space 4}-2.125686{col 67}{space 3} .7565212
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.4195103{col 26}{space 2} .4402932{col 37}{space 1}   -0.95{col 46}{space 3}0.341{col 54}{space 4}-1.282469{col 67}{space 3} .4434484
{txt}state_school {c |}{col 14}{res}{space 2} -.094062{col 26}{space 2} .3826634{col 37}{space 1}   -0.25{col 46}{space 3}0.806{col 54}{space 4}-.8440684{col 67}{space 3} .6559444
{txt}{space 9}job {c |}{col 14}{res}{space 2}  .198057{col 26}{space 2} .3694552{col 37}{space 1}    0.54{col 46}{space 3}0.592{col 54}{space 4}-.5260618{col 67}{space 3} .9221758
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0182275{col 26}{space 2} .0255972{col 37}{space 1}    0.71{col 46}{space 3}0.476{col 54}{space 4}-.0319421{col 67}{space 3} .0683972
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  .712183{col 26}{space 2} .6331839{col 37}{space 1}    1.12{col 46}{space 3}0.261{col 54}{space 4}-.5288346{col 67}{space 3} 1.953201
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .6344207{col 26}{space 2} .6711868{col 37}{space 1}    0.95{col 46}{space 3}0.345{col 54}{space 4}-.6810813{col 67}{space 3} 1.949923
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-3.179844{col 26}{space 2} 1.262287{col 37}{space 1}   -2.52{col 46}{space 3}0.012{col 54}{space 4}-5.653881{col 67}{space 3}-.7058073
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.0325649{col 26}{space 2} .3596442{col 37}{space 1}   -0.09{col 46}{space 3}0.928{col 54}{space 4}-.7374545{col 67}{space 3} .6723247
{txt}state_school {c |}{col 14}{res}{space 2}-.0884052{col 26}{space 2} .3289104{col 37}{space 1}   -0.27{col 46}{space 3}0.788{col 54}{space 4}-.7330577{col 67}{space 3} .5562472
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1533018{col 26}{space 2} .3482183{col 37}{space 1}   -0.44{col 46}{space 3}0.660{col 54}{space 4}-.8357971{col 67}{space 3} .5291934
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0835394{col 26}{space 2} .0232453{col 37}{space 1}   -3.59{col 46}{space 3}0.000{col 54}{space 4}-.1290993{col 67}{space 3}-.0379795
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .5551566{col 26}{space 2} .6479313{col 37}{space 1}    0.86{col 46}{space 3}0.392{col 54}{space 4}-.7147653{col 67}{space 3} 1.825079
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .7429776{col 26}{space 2} .6714955{col 37}{space 1}    1.11{col 46}{space 3}0.269{col 54}{space 4}-.5731294{col 67}{space 3} 2.059085
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.405174{col 26}{space 2} 1.190306{col 37}{space 1}    1.18{col 46}{space 3}0.238{col 54}{space 4}-.9277843{col 67}{space 3} 3.738131
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_5     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.4855691{col 26}{space 2} .2452886{col 37}{space 1}   -1.98{col 46}{space 3}0.048{col 54}{space 4}-.9663259{col 67}{space 3}-.0048123
{txt}state_school {c |}{col 14}{res}{space 2} .4674832{col 26}{space 2} .2212982{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0337467{col 67}{space 3} .9012198
{txt}{space 9}job {c |}{col 14}{res}{space 2}  .035607{col 26}{space 2} .2318119{col 37}{space 1}    0.15{col 46}{space 3}0.878{col 54}{space 4}-.4187359{col 67}{space 3} .4899499
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0189697{col 26}{space 2} .0128044{col 37}{space 1}    1.48{col 46}{space 3}0.138{col 54}{space 4}-.0061263{col 67}{space 3} .0440658
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .5127479{col 26}{space 2} .3532775{col 37}{space 1}    1.45{col 46}{space 3}0.147{col 54}{space 4}-.1796633{col 67}{space 3} 1.205159
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .9906883{col 26}{space 2} .3737477{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4} .2581562{col 67}{space 3}  1.72322
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.034055{col 26}{space 2} .6982402{col 37}{space 1}   -2.91{col 46}{space 3}0.004{col 54}{space 4} -3.40258{col 67}{space 3}-.6655291
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_6     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} -.535119{col 26}{space 2} .3612694{col 37}{space 1}   -1.48{col 46}{space 3}0.139{col 54}{space 4}-1.243194{col 67}{space 3}  .172956
{txt}state_school {c |}{col 14}{res}{space 2}-.0458603{col 26}{space 2}  .308335{col 37}{space 1}   -0.15{col 46}{space 3}0.882{col 54}{space 4}-.6501858{col 67}{space 3} .5584652
{txt}{space 9}job {c |}{col 14}{res}{space 2} .0907035{col 26}{space 2} .3277255{col 37}{space 1}    0.28{col 46}{space 3}0.782{col 54}{space 4}-.5516266{col 67}{space 3} .7330335
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0059114{col 26}{space 2} .0162861{col 37}{space 1}   -0.36{col 46}{space 3}0.717{col 54}{space 4}-.0378315{col 67}{space 3} .0260087
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0472148{col 26}{space 2} .4751469{col 37}{space 1}   -0.10{col 46}{space 3}0.921{col 54}{space 4}-.9784857{col 67}{space 3} .8840561
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .5858711{col 26}{space 2} .4808707{col 37}{space 1}    1.22{col 46}{space 3}0.223{col 54}{space 4}-.3566182{col 67}{space 3}  1.52836
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-1.187673{col 26}{space 2}  .897459{col 37}{space 1}   -1.32{col 46}{space 3}0.186{col 54}{space 4}-2.946661{col 67}{space 3} .5713139
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_clust6.tex"'"':MPCareer_clust6.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_clust6.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1105.4764}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1091.7593}  
Iteration 2:{space 3}log pseudolikelihood = {res:-981.35188}  
Iteration 3:{space 3}log pseudolikelihood = {res:-964.90895}  
Iteration 4:{space 3}log pseudolikelihood = {res:-962.42088}  
Iteration 5:{space 3}log pseudolikelihood = {res:-962.12433}  
Iteration 6:{space 3}log pseudolikelihood = {res:-962.08713}  
Iteration 7:{space 3}log pseudolikelihood = {res:-962.08091}  
Iteration 8:{space 3}log pseudolikelihood = {res:-962.08023}  
Iteration 9:{space 3}log pseudolikelihood = {res:-962.08009}  
Iteration 10:{space 2}log pseudolikelihood = {res:-962.08006}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       695
{txt}{col 49}Wald chi2({res}45{txt}){col 67}= {res}   3663.50
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-962.08006{txt}{col 49}Pseudo R2{col 67}= {res}    0.1297

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust6{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.5227902{col 26}{space 2} .2539681{col 37}{space 1}   -2.06{col 46}{space 3}0.040{col 54}{space 4}-1.020559{col 67}{space 3}-.0250218
{txt}state_school {c |}{col 14}{res}{space 2}-.2871043{col 26}{space 2} .2371917{col 37}{space 1}   -1.21{col 46}{space 3}0.226{col 54}{space 4}-.7519914{col 67}{space 3} .1777828
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1169185{col 26}{space 2} .2309548{col 37}{space 1}   -0.51{col 46}{space 3}0.613{col 54}{space 4}-.5695815{col 67}{space 3} .3357445
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0026521{col 26}{space 2} .0147547{col 37}{space 1}    0.18{col 46}{space 3}0.857{col 54}{space 4}-.0262666{col 67}{space 3} .0315707
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .1659619{col 26}{space 2} .3280238{col 37}{space 1}    0.51{col 46}{space 3}0.613{col 54}{space 4}-.4769529{col 67}{space 3} .8088767
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0726962{col 26}{space 2} .3697365{col 37}{space 1}   -0.20{col 46}{space 3}0.844{col 54}{space 4}-.7973663{col 67}{space 3}  .651974
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.6073924{col 26}{space 2} .4497193{col 37}{space 1}   -1.35{col 46}{space 3}0.177{col 54}{space 4}-1.488826{col 67}{space 3} .2740413
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.440236{col 26}{space 2} .2528595{col 37}{space 1}   -5.70{col 46}{space 3}0.000{col 54}{space 4}-1.935831{col 67}{space 3}-.9446403
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .0385012{col 26}{space 2} .5815495{col 37}{space 1}    0.07{col 46}{space 3}0.947{col 54}{space 4}-1.101315{col 67}{space 3} 1.178317
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5407897{col 26}{space 2} .7927494{col 37}{space 1}    0.68{col 46}{space 3}0.495{col 54}{space 4}-1.012971{col 67}{space 3}  2.09455
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}  .043447{col 26}{space 2} .4977731{col 37}{space 1}    0.09{col 46}{space 3}0.930{col 54}{space 4}-.9321704{col 67}{space 3} 1.019064
{txt}state_school {c |}{col 14}{res}{space 2} -.392767{col 26}{space 2} .4610398{col 37}{space 1}   -0.85{col 46}{space 3}0.394{col 54}{space 4}-1.296388{col 67}{space 3} .5108544
{txt}{space 9}job {c |}{col 14}{res}{space 2} .2337468{col 26}{space 2} .4865287{col 37}{space 1}    0.48{col 46}{space 3}0.631{col 54}{space 4}-.7198321{col 67}{space 3} 1.187326
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0028996{col 26}{space 2} .0256012{col 37}{space 1}    0.11{col 46}{space 3}0.910{col 54}{space 4}-.0472778{col 67}{space 3} .0530769
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .9486911{col 26}{space 2} .7387143{col 37}{space 1}    1.28{col 46}{space 3}0.199{col 54}{space 4}-.4991623{col 67}{space 3} 2.396544
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .8753515{col 26}{space 2} .8091417{col 37}{space 1}    1.08{col 46}{space 3}0.279{col 54}{space 4}-.7105371{col 67}{space 3}  2.46124
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  5.12011{col 26}{space 2}  1.05026{col 37}{space 1}    4.88{col 46}{space 3}0.000{col 54}{space 4} 3.061638{col 67}{space 3} 7.178581
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .7854767{col 26}{space 2} 1.126046{col 37}{space 1}    0.70{col 46}{space 3}0.485{col 54}{space 4}-1.421533{col 67}{space 3} 2.992486
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}   .16213{col 26}{space 2} 1.293891{col 37}{space 1}    0.13{col 46}{space 3}0.900{col 54}{space 4}-2.373849{col 67}{space 3} 2.698109
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-5.059014{col 26}{space 2} 1.745015{col 37}{space 1}   -2.90{col 46}{space 3}0.004{col 54}{space 4}-8.479181{col 67}{space 3}-1.638848
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.1180297{col 26}{space 2} .4059638{col 37}{space 1}   -0.29{col 46}{space 3}0.771{col 54}{space 4}-.9137042{col 67}{space 3} .6776447
{txt}state_school {c |}{col 14}{res}{space 2}-.4769773{col 26}{space 2} .3564535{col 37}{space 1}   -1.34{col 46}{space 3}0.181{col 54}{space 4}-1.175613{col 67}{space 3} .2216587
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.2773912{col 26}{space 2} .3713145{col 37}{space 1}   -0.75{col 46}{space 3}0.455{col 54}{space 4}-1.005154{col 67}{space 3} .4503718
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0821977{col 26}{space 2} .0223776{col 37}{space 1}   -3.67{col 46}{space 3}0.000{col 54}{space 4}-.1260569{col 67}{space 3}-.0383384
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .5784504{col 26}{space 2} .6455382{col 37}{space 1}    0.90{col 46}{space 3}0.370{col 54}{space 4}-.6867811{col 67}{space 3} 1.843682
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .6587541{col 26}{space 2} .6797065{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.6734461{col 67}{space 3} 1.990954
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.266399{col 26}{space 2} .4946448{col 37}{space 1}    2.56{col 46}{space 3}0.010{col 54}{space 4} .2969126{col 67}{space 3} 2.235884
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.253513{col 26}{space 2} .4267728{col 37}{space 1}   -2.94{col 46}{space 3}0.003{col 54}{space 4}-2.089973{col 67}{space 3} -.417054
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .6146878{col 26}{space 2} .6398729{col 37}{space 1}    0.96{col 46}{space 3}0.337{col 54}{space 4}-.6394401{col 67}{space 3} 1.868816
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.031788{col 26}{space 2} 1.315214{col 37}{space 1}    1.54{col 46}{space 3}0.122{col 54}{space 4} -.545985{col 67}{space 3} 4.609561
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_5     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.9407628{col 26}{space 2} .2671637{col 37}{space 1}   -3.52{col 46}{space 3}0.000{col 54}{space 4}-1.464394{col 67}{space 3}-.4171317
{txt}state_school {c |}{col 14}{res}{space 2}-.1389836{col 26}{space 2} .2410158{col 37}{space 1}   -0.58{col 46}{space 3}0.564{col 54}{space 4}-.6113658{col 67}{space 3} .3333986
{txt}{space 9}job {c |}{col 14}{res}{space 2} -.174416{col 26}{space 2} .2547033{col 37}{space 1}   -0.68{col 46}{space 3}0.493{col 54}{space 4}-.6736253{col 67}{space 3} .3247932
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0156546{col 26}{space 2} .0144497{col 37}{space 1}    1.08{col 46}{space 3}0.279{col 54}{space 4}-.0126664{col 67}{space 3} .0439755
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .5486016{col 26}{space 2} .3663783{col 37}{space 1}    1.50{col 46}{space 3}0.134{col 54}{space 4}-.1694867{col 67}{space 3}  1.26669
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .8588596{col 26}{space 2} .3907173{col 37}{space 1}    2.20{col 46}{space 3}0.028{col 54}{space 4} .0930678{col 67}{space 3} 1.624651
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.642145{col 26}{space 2} .5640267{col 37}{space 1}   -2.91{col 46}{space 3}0.004{col 54}{space 4}-2.747617{col 67}{space 3}-.5366731
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-2.108582{col 26}{space 2} .2660248{col 37}{space 1}   -7.93{col 46}{space 3}0.000{col 54}{space 4}-2.629981{col 67}{space 3}-1.587183
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.2886195{col 26}{space 2} .5837795{col 37}{space 1}   -0.49{col 46}{space 3}0.621{col 54}{space 4}-1.432806{col 67}{space 3} .8555673
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.287253{col 26}{space 2}  .798082{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-1.851465{col 67}{space 3} 1.276959
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_6     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} -1.01198{col 26}{space 2} .3801974{col 37}{space 1}   -2.66{col 46}{space 3}0.008{col 54}{space 4}-1.757154{col 67}{space 3}-.2668073
{txt}state_school {c |}{col 14}{res}{space 2}-.5083081{col 26}{space 2}  .330562{col 37}{space 1}   -1.54{col 46}{space 3}0.124{col 54}{space 4}-1.156198{col 67}{space 3} .1395815
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1259424{col 26}{space 2} .3311271{col 37}{space 1}   -0.38{col 46}{space 3}0.704{col 54}{space 4}-.7749397{col 67}{space 3} .5230549
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0097264{col 26}{space 2} .0176925{col 37}{space 1}   -0.55{col 46}{space 3}0.582{col 54}{space 4}-.0444031{col 67}{space 3} .0249503
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0325947{col 26}{space 2} .4871363{col 37}{space 1}   -0.07{col 46}{space 3}0.947{col 54}{space 4}-.9873642{col 67}{space 3} .9221748
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .4878644{col 26}{space 2} .4965607{col 37}{space 1}    0.98{col 46}{space 3}0.326{col 54}{space 4}-.4853767{col 67}{space 3} 1.461106
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.497528{col 26}{space 2} .8016801{col 37}{space 1}   -1.87{col 46}{space 3}0.062{col 54}{space 4}-3.068792{col 67}{space 3} .0737363
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.771617{col 26}{space 2} .3451879{col 37}{space 1}   -5.13{col 46}{space 3}0.000{col 54}{space 4}-2.448173{col 67}{space 3}-1.095061
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-13.28661{col 26}{space 2} .4715137{col 37}{space 1}  -28.18{col 46}{space 3}0.000{col 54}{space 4}-14.21076{col 67}{space 3}-12.36246
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .4499833{col 26}{space 2} .9635305{col 37}{space 1}    0.47{col 46}{space 3}0.640{col 54}{space 4}-1.438502{col 67}{space 3} 2.338468
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_clust6.tex"'"':MPCareer_clust6.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_clust6.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1105.4764}  
Iteration 1:{space 3}log pseudolikelihood = {res:-687.75405}  
Iteration 2:{space 3}log pseudolikelihood = {res:-583.58776}  
Iteration 3:{space 3}log pseudolikelihood = {res:-542.82392}  
Iteration 4:{space 3}log pseudolikelihood = {res:-535.40481}  
Iteration 5:{space 3}log pseudolikelihood = {res:-534.00047}  
Iteration 6:{space 3}log pseudolikelihood = {res:-533.66404}  
Iteration 7:{space 3}log pseudolikelihood = {res:-533.59419}  
Iteration 8:{space 3}log pseudolikelihood = {res:-533.57944}  
Iteration 9:{space 3}log pseudolikelihood = {res: -533.5761}  
Iteration 10:{space 2}log pseudolikelihood = {res:-533.57527}  
Iteration 11:{space 2}log pseudolikelihood = {res:-533.57511}  
Iteration 12:{space 2}log pseudolikelihood = {res:-533.57508}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       695
{txt}{col 49}Wald chi2({res}60{txt}){col 67}= {res}  47722.54
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-533.57508{txt}{col 49}Pseudo R2{col 67}= {res}    0.5173

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust6{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.3671297{col 26}{space 2}  .543815{col 37}{space 1}   -0.68{col 46}{space 3}0.500{col 54}{space 4}-1.432988{col 67}{space 3} .6987282
{txt}state_school {c |}{col 14}{res}{space 2}-.7206767{col 26}{space 2} .4749463{col 37}{space 1}   -1.52{col 46}{space 3}0.129{col 54}{space 4}-1.651554{col 67}{space 3} .2102009
{txt}{space 9}job {c |}{col 14}{res}{space 2} .7336193{col 26}{space 2} .5531007{col 37}{space 1}    1.33{col 46}{space 3}0.185{col 54}{space 4}-.3504382{col 67}{space 3} 1.817677
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0419818{col 26}{space 2}  .038169{col 37}{space 1}   -1.10{col 46}{space 3}0.271{col 54}{space 4}-.1167916{col 67}{space 3}  .032828
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.4578423{col 26}{space 2}   .75815{col 37}{space 1}   -0.60{col 46}{space 3}0.546{col 54}{space 4}-1.943789{col 67}{space 3} 1.028104
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.076161{col 26}{space 2} .8134233{col 37}{space 1}   -1.32{col 46}{space 3}0.186{col 54}{space 4}-2.670441{col 67}{space 3} .5181198
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -2.05392{col 26}{space 2} .8172028{col 37}{space 1}   -2.51{col 46}{space 3}0.012{col 54}{space 4}-3.655608{col 67}{space 3}-.4522324
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.251079{col 26}{space 2} .5562688{col 37}{space 1}   -2.25{col 46}{space 3}0.025{col 54}{space 4}-2.341346{col 67}{space 3}-.1608127
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.1234384{col 26}{space 2} 1.248251{col 37}{space 1}   -0.10{col 46}{space 3}0.921{col 54}{space 4}-2.569965{col 67}{space 3} 2.323088
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.5448117{col 26}{space 2} .5800147{col 37}{space 1}   -0.94{col 46}{space 3}0.348{col 54}{space 4} -1.68162{col 67}{space 3} .5919963
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 3.728529{col 26}{space 2} 1.067562{col 37}{space 1}    3.49{col 46}{space 3}0.000{col 54}{space 4} 1.636146{col 67}{space 3} 5.820913
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-20.04232{col 26}{space 2}  .477819{col 37}{space 1}  -41.95{col 46}{space 3}0.000{col 54}{space 4}-20.97883{col 67}{space 3}-19.10581
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.716707{col 26}{space 2} 1.967539{col 37}{space 1}    2.40{col 46}{space 3}0.017{col 54}{space 4} .8604015{col 67}{space 3} 8.573012
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} .4319963{col 26}{space 2} .6817685{col 37}{space 1}    0.63{col 46}{space 3}0.526{col 54}{space 4}-.9042455{col 67}{space 3} 1.768238
{txt}state_school {c |}{col 14}{res}{space 2} -.821192{col 26}{space 2} .6033795{col 37}{space 1}   -1.36{col 46}{space 3}0.174{col 54}{space 4}-2.003794{col 67}{space 3} .3614102
{txt}{space 9}job {c |}{col 14}{res}{space 2} .9147072{col 26}{space 2} .7063817{col 37}{space 1}    1.29{col 46}{space 3}0.195{col 54}{space 4}-.4697755{col 67}{space 3}  2.29919
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0478301{col 26}{space 2} .0421907{col 37}{space 1}   -1.13{col 46}{space 3}0.257{col 54}{space 4}-.1305225{col 67}{space 3} .0348622
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .4042209{col 26}{space 2} 1.000543{col 37}{space 1}    0.40{col 46}{space 3}0.686{col 54}{space 4}-1.556807{col 67}{space 3} 2.365249
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0444357{col 26}{space 2} 1.062944{col 37}{space 1}    0.04{col 46}{space 3}0.967{col 54}{space 4}-2.038897{col 67}{space 3} 2.127768
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 4.305235{col 26}{space 2} 1.150423{col 37}{space 1}    3.74{col 46}{space 3}0.000{col 54}{space 4} 2.050448{col 67}{space 3} 6.560022
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.741417{col 26}{space 2} 1.174835{col 37}{space 1}    1.48{col 46}{space 3}0.138{col 54}{space 4}-.5612174{col 67}{space 3} 4.044051
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.1640901{col 26}{space 2} 1.696636{col 37}{space 1}   -0.10{col 46}{space 3}0.923{col 54}{space 4}-3.489436{col 67}{space 3} 3.161256
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.5710914{col 26}{space 2} .6344072{col 37}{space 1}   -0.90{col 46}{space 3}0.368{col 54}{space 4}-1.814507{col 67}{space 3} .6723238
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.481497{col 26}{space 2} 1.255132{col 37}{space 1}    1.18{col 46}{space 3}0.238{col 54}{space 4}-.9785161{col 67}{space 3} 3.941509
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-18.99871{col 26}{space 2} .6132342{col 37}{space 1}  -30.98{col 46}{space 3}0.000{col 54}{space 4}-20.20062{col 67}{space 3}-17.79679
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.2167616{col 26}{space 2} 2.387023{col 37}{space 1}   -0.09{col 46}{space 3}0.928{col 54}{space 4}-4.895241{col 67}{space 3} 4.461718
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} .2161994{col 26}{space 2} .5794485{col 37}{space 1}    0.37{col 46}{space 3}0.709{col 54}{space 4}-.9194988{col 67}{space 3} 1.351898
{txt}state_school {c |}{col 14}{res}{space 2}-.7912718{col 26}{space 2} .5123098{col 37}{space 1}   -1.54{col 46}{space 3}0.122{col 54}{space 4}-1.795381{col 67}{space 3}  .212837
{txt}{space 9}job {c |}{col 14}{res}{space 2}  .416001{col 26}{space 2} .5976925{col 37}{space 1}    0.70{col 46}{space 3}0.486{col 54}{space 4}-.7554548{col 67}{space 3} 1.587457
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.1373301{col 26}{space 2} .0419346{col 37}{space 1}   -3.27{col 46}{space 3}0.001{col 54}{space 4}-.2195203{col 67}{space 3}-.0551398
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0717079{col 26}{space 2} .8944829{col 37}{space 1}    0.08{col 46}{space 3}0.936{col 54}{space 4}-1.681446{col 67}{space 3} 1.824862
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2409672{col 26}{space 2} .9530066{col 37}{space 1}   -0.25{col 46}{space 3}0.800{col 54}{space 4}-2.108826{col 67}{space 3} 1.626891
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2550173{col 26}{space 2} .7797847{col 37}{space 1}    0.33{col 46}{space 3}0.744{col 54}{space 4}-1.273333{col 67}{space 3} 1.783367
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.5887984{col 26}{space 2} .6214684{col 37}{space 1}   -0.95{col 46}{space 3}0.343{col 54}{space 4}-1.806854{col 67}{space 3} .6292573
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}  .448469{col 26}{space 2}  1.38205{col 37}{space 1}    0.32{col 46}{space 3}0.746{col 54}{space 4}-2.260299{col 67}{space 3} 3.157237
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.7850499{col 26}{space 2} .6391225{col 37}{space 1}   -1.23{col 46}{space 3}0.219{col 54}{space 4}-2.037707{col 67}{space 3} .4676073
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  2.08262{col 26}{space 2} 1.157508{col 37}{space 1}    1.80{col 46}{space 3}0.072{col 54}{space 4}-.1860543{col 67}{space 3} 4.351294
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-5.839318{col 26}{space 2} 1.094257{col 37}{space 1}   -5.34{col 46}{space 3}0.000{col 54}{space 4}-7.984021{col 67}{space 3}-3.694614
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 6.981019{col 26}{space 2} 2.180324{col 37}{space 1}    3.20{col 46}{space 3}0.001{col 54}{space 4} 2.707662{col 67}{space 3} 11.25438
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_5     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.2250767{col 26}{space 2} .5138098{col 37}{space 1}   -0.44{col 46}{space 3}0.661{col 54}{space 4}-1.232125{col 67}{space 3} .7819719
{txt}state_school {c |}{col 14}{res}{space 2}-.1790941{col 26}{space 2} .4466447{col 37}{space 1}   -0.40{col 46}{space 3}0.688{col 54}{space 4}-1.054502{col 67}{space 3} .6963135
{txt}{space 9}job {c |}{col 14}{res}{space 2} .5520279{col 26}{space 2} .5127042{col 37}{space 1}    1.08{col 46}{space 3}0.282{col 54}{space 4}-.4528538{col 67}{space 3}  1.55691
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0377459{col 26}{space 2}  .035902{col 37}{space 1}   -1.05{col 46}{space 3}0.293{col 54}{space 4}-.1081124{col 67}{space 3} .0326207
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -.043808{col 26}{space 2} .7725525{col 37}{space 1}   -0.06{col 46}{space 3}0.955{col 54}{space 4}-1.557983{col 67}{space 3} 1.470367
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2501333{col 26}{space 2} .8032848{col 37}{space 1}   -0.31{col 46}{space 3}0.756{col 54}{space 4}-1.824543{col 67}{space 3} 1.324276
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-2.240568{col 26}{space 2} .7409898{col 37}{space 1}   -3.02{col 46}{space 3}0.002{col 54}{space 4}-3.692882{col 67}{space 3}-.7882549
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.7409622{col 26}{space 2} .4975873{col 37}{space 1}   -1.49{col 46}{space 3}0.136{col 54}{space 4}-1.716215{col 67}{space 3} .2342909
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.1483026{col 26}{space 2} 1.205818{col 37}{space 1}   -0.12{col 46}{space 3}0.902{col 54}{space 4}-2.511662{col 67}{space 3} 2.215056
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1953125{col 26}{space 2} .5119195{col 37}{space 1}   -0.38{col 46}{space 3}0.703{col 54}{space 4}-1.198656{col 67}{space 3} .8080312
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-15.84372{col 26}{space 2} 1.038204{col 37}{space 1}  -15.26{col 46}{space 3}0.000{col 54}{space 4}-17.87857{col 67}{space 3}-13.80888
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-20.83719{col 26}{space 2} .4468308{col 37}{space 1}  -46.63{col 46}{space 3}0.000{col 54}{space 4}-21.71296{col 67}{space 3}-19.96142
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.350714{col 26}{space 2} 1.824881{col 37}{space 1}    2.38{col 46}{space 3}0.017{col 54}{space 4} .7740123{col 67}{space 3} 7.927415
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_6     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.6118731{col 26}{space 2} .5979704{col 37}{space 1}   -1.02{col 46}{space 3}0.306{col 54}{space 4}-1.783874{col 67}{space 3} .5601273
{txt}state_school {c |}{col 14}{res}{space 2}-.5486332{col 26}{space 2} .5231548{col 37}{space 1}   -1.05{col 46}{space 3}0.294{col 54}{space 4}-1.573998{col 67}{space 3} .4767314
{txt}{space 9}job {c |}{col 14}{res}{space 2} .7384245{col 26}{space 2} .5960286{col 37}{space 1}    1.24{col 46}{space 3}0.215{col 54}{space 4}-.4297702{col 67}{space 3} 1.906619
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0859252{col 26}{space 2} .0382367{col 37}{space 1}   -2.25{col 46}{space 3}0.025{col 54}{space 4}-.1608678{col 67}{space 3}-.0109826
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.5817142{col 26}{space 2} .8304739{col 37}{space 1}   -0.70{col 46}{space 3}0.484{col 54}{space 4}-2.209413{col 67}{space 3} 1.045985
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.6743651{col 26}{space 2} .8677145{col 37}{space 1}   -0.78{col 46}{space 3}0.437{col 54}{space 4}-2.375054{col 67}{space 3} 1.026324
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.886882{col 26}{space 2} .9136807{col 37}{space 1}   -2.07{col 46}{space 3}0.039{col 54}{space 4}-3.677664{col 67}{space 3}-.0961012
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .1341084{col 26}{space 2} .5762432{col 37}{space 1}    0.23{col 46}{space 3}0.816{col 54}{space 4}-.9953076{col 67}{space 3} 1.263524
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-16.60405{col 26}{space 2} 1.190857{col 37}{space 1}  -13.94{col 46}{space 3}0.000{col 54}{space 4}-18.93808{col 67}{space 3}-14.27001
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-18.64647{col 26}{space 2} .5321928{col 37}{space 1}  -35.04{col 46}{space 3}0.000{col 54}{space 4}-19.68955{col 67}{space 3}-17.60339
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-16.73765{col 26}{space 2} 1.056855{col 37}{space 1}  -15.84{col 46}{space 3}0.000{col 54}{space 4}-18.80905{col 67}{space 3}-14.66625
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-21.92244{col 26}{space 2} .5916215{col 37}{space 1}  -37.05{col 46}{space 3}0.000{col 54}{space 4}  -23.082{col 67}{space 3}-20.76288
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 6.399435{col 26}{space 2} 1.967301{col 37}{space 1}    3.25{col 46}{space 3}0.001{col 54}{space 4} 2.543596{col 67}{space 3} 10.25527
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_clust6.tex"'"':MPCareer_clust6.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_clust6.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1135.1241}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1108.4854}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1104.8623}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1104.7961}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1104.7961}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       695
{txt}{col 49}Wald chi2({res}36{txt}){col 67}= {res}     61.27
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0054
{txt}Log pseudolikelihood = {res}-1104.7961{txt}{col 49}Pseudo R2{col 67}= {res}    0.0267

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust7{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.2252448{col 26}{space 2} .2385347{col 37}{space 1}   -0.94{col 46}{space 3}0.345{col 54}{space 4}-.6927642{col 67}{space 3} .2422747
{txt}state_school {c |}{col 14}{res}{space 2} .1072106{col 26}{space 2} .2145274{col 37}{space 1}    0.50{col 46}{space 3}0.617{col 54}{space 4}-.3132554{col 67}{space 3} .5276765
{txt}{space 9}job {c |}{col 14}{res}{space 2}  .020693{col 26}{space 2} .2275715{col 37}{space 1}    0.09{col 46}{space 3}0.928{col 54}{space 4}-.4253389{col 67}{space 3} .4667249
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0050714{col 26}{space 2} .0139437{col 37}{space 1}    0.36{col 46}{space 3}0.716{col 54}{space 4}-.0222578{col 67}{space 3} .0324007
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .1327384{col 26}{space 2} .3165429{col 37}{space 1}    0.42{col 46}{space 3}0.675{col 54}{space 4}-.4876743{col 67}{space 3}  .753151
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0118163{col 26}{space 2} .3515524{col 37}{space 1}    0.03{col 46}{space 3}0.973{col 54}{space 4}-.6772137{col 67}{space 3} .7008463
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.6849758{col 26}{space 2} .7403542{col 37}{space 1}   -0.93{col 46}{space 3}0.355{col 54}{space 4}-2.136043{col 67}{space 3} .7660919
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.4191228{col 26}{space 2} .4403419{col 37}{space 1}   -0.95{col 46}{space 3}0.341{col 54}{space 4}-1.282177{col 67}{space 3} .4439314
{txt}state_school {c |}{col 14}{res}{space 2}-.0967553{col 26}{space 2} .3827447{col 37}{space 1}   -0.25{col 46}{space 3}0.800{col 54}{space 4} -.846921{col 67}{space 3} .6534104
{txt}{space 9}job {c |}{col 14}{res}{space 2} .1992138{col 26}{space 2}  .369464{col 37}{space 1}    0.54{col 46}{space 3}0.590{col 54}{space 4}-.5249224{col 67}{space 3}   .92335
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0184866{col 26}{space 2} .0257041{col 37}{space 1}    0.72{col 46}{space 3}0.472{col 54}{space 4}-.0318925{col 67}{space 3} .0688658
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .7146023{col 26}{space 2} .6329011{col 37}{space 1}    1.13{col 46}{space 3}0.259{col 54}{space 4}-.5258611{col 67}{space 3} 1.955066
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  .636472{col 26}{space 2} .6710273{col 37}{space 1}    0.95{col 46}{space 3}0.343{col 54}{space 4}-.6787173{col 67}{space 3} 1.951661
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-3.192106{col 26}{space 2} 1.267515{col 37}{space 1}   -2.52{col 46}{space 3}0.012{col 54}{space 4} -5.67639{col 67}{space 3}-.7078221
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} -.114001{col 26}{space 2} .6699122{col 37}{space 1}   -0.17{col 46}{space 3}0.865{col 54}{space 4}-1.427005{col 67}{space 3} 1.199003
{txt}state_school {c |}{col 14}{res}{space 2}  .973716{col 26}{space 2} .6815403{col 37}{space 1}    1.43{col 46}{space 3}0.153{col 54}{space 4}-.3620785{col 67}{space 3} 2.309511
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.4159143{col 26}{space 2} .6247144{col 37}{space 1}   -0.67{col 46}{space 3}0.506{col 54}{space 4}-1.640332{col 67}{space 3} .8085034
{txt}age_at_entry {c |}{col 14}{res}{space 2} -.179594{col 26}{space 2} .0491187{col 37}{space 1}   -3.66{col 46}{space 3}0.000{col 54}{space 4}-.2758648{col 67}{space 3}-.0833232
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.6603204{col 26}{space 2} .9050522{col 37}{space 1}   -0.73{col 46}{space 3}0.466{col 54}{space 4} -2.43419{col 67}{space 3} 1.113549
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.4116638{col 26}{space 2} .9676052{col 37}{space 1}   -0.43{col 46}{space 3}0.671{col 54}{space 4}-2.308135{col 67}{space 3} 1.484807
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.096856{col 26}{space 2} 2.171211{col 37}{space 1}    1.89{col 46}{space 3}0.059{col 54}{space 4}  -.15864{col 67}{space 3} 8.352353
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_5     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.4849539{col 26}{space 2} .2452439{col 37}{space 1}   -1.98{col 46}{space 3}0.048{col 54}{space 4}-.9656231{col 67}{space 3}-.0042848
{txt}state_school {c |}{col 14}{res}{space 2} .4651677{col 26}{space 2} .2214013{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4} .0312291{col 67}{space 3} .8991064
{txt}{space 9}job {c |}{col 14}{res}{space 2} .0357681{col 26}{space 2} .2318786{col 37}{space 1}    0.15{col 46}{space 3}0.877{col 54}{space 4}-.4187055{col 67}{space 3} .4902418
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0190256{col 26}{space 2} .0128974{col 37}{space 1}    1.48{col 46}{space 3}0.140{col 54}{space 4}-.0062529{col 67}{space 3} .0443041
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .5124929{col 26}{space 2} .3535758{col 37}{space 1}    1.45{col 46}{space 3}0.147{col 54}{space 4}-.1805028{col 67}{space 3} 1.205489
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .9901941{col 26}{space 2} .3739156{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4} .2573331{col 67}{space 3} 1.723055
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.034925{col 26}{space 2} .7024851{col 37}{space 1}   -2.90{col 46}{space 3}0.004{col 54}{space 4}-3.411771{col 67}{space 3}-.6580798
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_6     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} -.010017{col 26}{space 2} .4066935{col 37}{space 1}   -0.02{col 46}{space 3}0.980{col 54}{space 4}-.8071215{col 67}{space 3} .7870876
{txt}state_school {c |}{col 14}{res}{space 2}-.4271925{col 26}{space 2} .3701847{col 37}{space 1}   -1.15{col 46}{space 3}0.249{col 54}{space 4}-1.152741{col 67}{space 3} .2983562
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.0561705{col 26}{space 2} .3916323{col 37}{space 1}   -0.14{col 46}{space 3}0.886{col 54}{space 4}-.8237558{col 67}{space 3} .7114147
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0527915{col 26}{space 2} .0238453{col 37}{space 1}   -2.21{col 46}{space 3}0.027{col 54}{space 4}-.0995273{col 67}{space 3}-.0060556
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.428128{col 26}{space 2} 1.046175{col 37}{space 1}    1.37{col 46}{space 3}0.172{col 54}{space 4}-.6223381{col 67}{space 3} 3.478594
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.587097{col 26}{space 2} 1.066457{col 37}{space 1}    1.49{col 46}{space 3}0.137{col 54}{space 4}-.5031211{col 67}{space 3} 3.677315
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.8131204{col 26}{space 2} 1.434282{col 37}{space 1}   -0.57{col 46}{space 3}0.571{col 54}{space 4}-3.624262{col 67}{space 3} 1.998021
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_7     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.5345464{col 26}{space 2} .3612686{col 37}{space 1}   -1.48{col 46}{space 3}0.139{col 54}{space 4} -1.24262{col 67}{space 3} .1735271
{txt}state_school {c |}{col 14}{res}{space 2}-.0451528{col 26}{space 2} .3084206{col 37}{space 1}   -0.15{col 46}{space 3}0.884{col 54}{space 4} -.649646{col 67}{space 3} .5593404
{txt}{space 9}job {c |}{col 14}{res}{space 2} .0904472{col 26}{space 2} .3279011{col 37}{space 1}    0.28{col 46}{space 3}0.783{col 54}{space 4}-.5522272{col 67}{space 3} .7331217
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0059101{col 26}{space 2}  .016424{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0381004{col 67}{space 3} .0262803
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0482317{col 26}{space 2} .4754466{col 37}{space 1}   -0.10{col 46}{space 3}0.919{col 54}{space 4}-.9800899{col 67}{space 3} .8836265
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .5845241{col 26}{space 2} .4812057{col 37}{space 1}    1.21{col 46}{space 3}0.224{col 54}{space 4}-.3586217{col 67}{space 3}  1.52767
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-1.187209{col 26}{space 2} .9036144{col 37}{space 1}   -1.31{col 46}{space 3}0.189{col 54}{space 4}-2.958261{col 67}{space 3} .5838427
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_clust7.tex"'"':MPCareer_clust7.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_clust7.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1135.1241}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1108.2633}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1005.2599}  
Iteration 3:{space 3}log pseudolikelihood = {res:-984.93762}  
Iteration 4:{space 3}log pseudolikelihood = {res:-980.22057}  
Iteration 5:{space 3}log pseudolikelihood = {res:-979.89908}  
Iteration 6:{space 3}log pseudolikelihood = {res:-979.86064}  
Iteration 7:{space 3}log pseudolikelihood = {res:-979.85133}  
Iteration 8:{space 3}log pseudolikelihood = {res:-979.84928}  
Iteration 9:{space 3}log pseudolikelihood = {res:-979.84882}  
Iteration 10:{space 2}log pseudolikelihood = {res:-979.84874}  
Iteration 11:{space 2}log pseudolikelihood = {res:-979.84873}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       695
{txt}{col 49}Wald chi2({res}54{txt}){col 67}= {res}   4554.33
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-979.84873{txt}{col 49}Pseudo R2{col 67}= {res}    0.1368

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust7{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.5293581{col 26}{space 2} .2550131{col 37}{space 1}   -2.08{col 46}{space 3}0.038{col 54}{space 4}-1.029175{col 67}{space 3}-.0295416
{txt}state_school {c |}{col 14}{res}{space 2}-.2815733{col 26}{space 2} .2365918{col 37}{space 1}   -1.19{col 46}{space 3}0.234{col 54}{space 4}-.7452846{col 67}{space 3}  .182138
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1205376{col 26}{space 2} .2313486{col 37}{space 1}   -0.52{col 46}{space 3}0.602{col 54}{space 4}-.5739726{col 67}{space 3} .3328974
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0020838{col 26}{space 2}  .014896{col 37}{space 1}    0.14{col 46}{space 3}0.889{col 54}{space 4}-.0271118{col 67}{space 3} .0312793
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .1565965{col 26}{space 2} .3285352{col 37}{space 1}    0.48{col 46}{space 3}0.634{col 54}{space 4}-.4873207{col 67}{space 3} .8005138
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0837895{col 26}{space 2} .3704251{col 37}{space 1}   -0.23{col 46}{space 3}0.821{col 54}{space 4}-.8098094{col 67}{space 3} .6422303
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.6097685{col 26}{space 2}  .450937{col 37}{space 1}   -1.35{col 46}{space 3}0.176{col 54}{space 4}-1.493589{col 67}{space 3} .2740518
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.442543{col 26}{space 2} .2535169{col 37}{space 1}   -5.69{col 46}{space 3}0.000{col 54}{space 4}-1.939428{col 67}{space 3}-.9456594
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .0190667{col 26}{space 2} .5853581{col 37}{space 1}    0.03{col 46}{space 3}0.974{col 54}{space 4}-1.128214{col 67}{space 3} 1.166348
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5758434{col 26}{space 2} .8049946{col 37}{space 1}    0.72{col 46}{space 3}0.474{col 54}{space 4}-1.001917{col 67}{space 3} 2.153604
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} .0920809{col 26}{space 2} .5007308{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.8893334{col 67}{space 3} 1.073495
{txt}state_school {c |}{col 14}{res}{space 2}-.4370187{col 26}{space 2} .4616887{col 37}{space 1}   -0.95{col 46}{space 3}0.344{col 54}{space 4}-1.341912{col 67}{space 3} .4678745
{txt}{space 9}job {c |}{col 14}{res}{space 2} .2571728{col 26}{space 2} .4860397{col 37}{space 1}    0.53{col 46}{space 3}0.597{col 54}{space 4}-.6954475{col 67}{space 3} 1.209793
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0075089{col 26}{space 2} .0252023{col 37}{space 1}    0.30{col 46}{space 3}0.766{col 54}{space 4}-.0418868{col 67}{space 3} .0569045
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.036259{col 26}{space 2} .7443428{col 37}{space 1}    1.39{col 46}{space 3}0.164{col 54}{space 4}-.4226258{col 67}{space 3} 2.495144
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .9602495{col 26}{space 2} .8137826{col 37}{space 1}    1.18{col 46}{space 3}0.238{col 54}{space 4} -.634735{col 67}{space 3} 2.555234
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 5.155484{col 26}{space 2} 1.049747{col 37}{space 1}    4.91{col 46}{space 3}0.000{col 54}{space 4} 3.098017{col 67}{space 3} 7.212951
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .8041248{col 26}{space 2}  1.12709{col 37}{space 1}    0.71{col 46}{space 3}0.476{col 54}{space 4} -1.40493{col 67}{space 3}  3.01318
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .3467813{col 26}{space 2}  1.31783{col 37}{space 1}    0.26{col 46}{space 3}0.792{col 54}{space 4}-2.236118{col 67}{space 3}  2.92968
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-5.363345{col 26}{space 2} 1.749753{col 37}{space 1}   -3.07{col 46}{space 3}0.002{col 54}{space 4}-8.792798{col 67}{space 3}-1.933892
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.6392588{col 26}{space 2} .6715524{col 37}{space 1}   -0.95{col 46}{space 3}0.341{col 54}{space 4}-1.955477{col 67}{space 3} .6769597
{txt}state_school {c |}{col 14}{res}{space 2} .3297445{col 26}{space 2} .6834952{col 37}{space 1}    0.48{col 46}{space 3}0.629{col 54}{space 4}-1.009882{col 67}{space 3} 1.669371
{txt}{space 9}job {c |}{col 14}{res}{space 2} -.555636{col 26}{space 2} .6205977{col 37}{space 1}   -0.90{col 46}{space 3}0.371{col 54}{space 4}-1.771985{col 67}{space 3} .6607132
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.1781577{col 26}{space 2} .0457812{col 37}{space 1}   -3.89{col 46}{space 3}0.000{col 54}{space 4}-.2678872{col 67}{space 3}-.0884282
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -.575848{col 26}{space 2} .8652523{col 37}{space 1}   -0.67{col 46}{space 3}0.506{col 54}{space 4}-2.271711{col 67}{space 3} 1.120015
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.5807085{col 26}{space 2} .9685435{col 37}{space 1}   -0.60{col 46}{space 3}0.549{col 54}{space 4}-2.479019{col 67}{space 3} 1.317602
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.8873754{col 26}{space 2} 1.093198{col 37}{space 1}   -0.81{col 46}{space 3}0.417{col 54}{space 4}-3.030003{col 67}{space 3} 1.255253
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-2.506831{col 26}{space 2} .7916583{col 37}{space 1}   -3.17{col 46}{space 3}0.002{col 54}{space 4}-4.058453{col 67}{space 3}-.9552094
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.4300888{col 26}{space 2} 1.047093{col 37}{space 1}   -0.41{col 46}{space 3}0.681{col 54}{space 4}-2.482352{col 67}{space 3} 1.622175
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 5.740129{col 26}{space 2} 2.132657{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4} 1.560198{col 67}{space 3} 9.920061
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_5     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.9500202{col 26}{space 2} .2678299{col 37}{space 1}   -3.55{col 46}{space 3}0.000{col 54}{space 4}-1.474957{col 67}{space 3}-.4250833
{txt}state_school {c |}{col 14}{res}{space 2}-.1296366{col 26}{space 2} .2403526{col 37}{space 1}   -0.54{col 46}{space 3}0.590{col 54}{space 4} -.600719{col 67}{space 3} .3414457
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1796644{col 26}{space 2} .2553599{col 37}{space 1}   -0.70{col 46}{space 3}0.482{col 54}{space 4}-.6801605{col 67}{space 3} .3208318
{txt}age_at_entry {c |}{col 14}{res}{space 2}  .014595{col 26}{space 2}  .014618{col 37}{space 1}    1.00{col 46}{space 3}0.318{col 54}{space 4}-.0140559{col 67}{space 3} .0432458
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .5309383{col 26}{space 2} .3663568{col 37}{space 1}    1.45{col 46}{space 3}0.147{col 54}{space 4}-.1871079{col 67}{space 3} 1.248984
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .8385309{col 26}{space 2}  .390915{col 37}{space 1}    2.15{col 46}{space 3}0.032{col 54}{space 4} .0723516{col 67}{space 3}  1.60471
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.642321{col 26}{space 2}  .563552{col 37}{space 1}   -2.91{col 46}{space 3}0.004{col 54}{space 4}-2.746862{col 67}{space 3}-.5377791
{txt}{space 10}2  {c |}{col 14}{res}{space 2} -2.10955{col 26}{space 2} .2668374{col 37}{space 1}   -7.91{col 46}{space 3}0.000{col 54}{space 4}-2.632542{col 67}{space 3}-1.586558
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.3173547{col 26}{space 2} .5843026{col 37}{space 1}   -0.54{col 46}{space 3}0.587{col 54}{space 4}-1.462567{col 67}{space 3} .8278573
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.2241997{col 26}{space 2} .8118858{col 37}{space 1}   -0.28{col 46}{space 3}0.782{col 54}{space 4}-1.815466{col 67}{space 3} 1.367067
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_6     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} .0884374{col 26}{space 2} .4727286{col 37}{space 1}    0.19{col 46}{space 3}0.852{col 54}{space 4}-.8380937{col 67}{space 3} 1.014968
{txt}state_school {c |}{col 14}{res}{space 2}-.7313305{col 26}{space 2} .4112812{col 37}{space 1}   -1.78{col 46}{space 3}0.075{col 54}{space 4}-1.537427{col 67}{space 3} .0747658
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1390638{col 26}{space 2}  .424485{col 37}{space 1}   -0.33{col 46}{space 3}0.743{col 54}{space 4}-.9710391{col 67}{space 3} .6929115
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0496881{col 26}{space 2} .0224868{col 37}{space 1}   -2.21{col 46}{space 3}0.027{col 54}{space 4}-.0937615{col 67}{space 3}-.0056147
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.539446{col 26}{space 2} 1.006281{col 37}{space 1}    1.53{col 46}{space 3}0.126{col 54}{space 4}-.4328273{col 67}{space 3}  3.51172
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.635412{col 26}{space 2} 1.033665{col 37}{space 1}    1.58{col 46}{space 3}0.114{col 54}{space 4}-.3905342{col 67}{space 3} 3.661358
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.989291{col 26}{space 2} .5560097{col 37}{space 1}    3.58{col 46}{space 3}0.000{col 54}{space 4} .8995322{col 67}{space 3}  3.07905
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.6503818{col 26}{space 2} .5210064{col 37}{space 1}   -1.25{col 46}{space 3}0.212{col 54}{space 4}-1.671536{col 67}{space 3}  .370772
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .9993435{col 26}{space 2} .7280065{col 37}{space 1}    1.37{col 46}{space 3}0.170{col 54}{space 4} -.427523{col 67}{space 3}  2.42621
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.936929{col 26}{space 2} 1.509476{col 37}{space 1}   -0.62{col 46}{space 3}0.535{col 54}{space 4}-3.895447{col 67}{space 3} 2.021589
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_7     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-1.022457{col 26}{space 2} .3812315{col 37}{space 1}   -2.68{col 46}{space 3}0.007{col 54}{space 4}-1.769657{col 67}{space 3}-.2752572
{txt}state_school {c |}{col 14}{res}{space 2}-.4985893{col 26}{space 2} .3297342{col 37}{space 1}   -1.51{col 46}{space 3}0.131{col 54}{space 4}-1.144856{col 67}{space 3} .1476778
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1341931{col 26}{space 2} .3319031{col 37}{space 1}   -0.40{col 46}{space 3}0.686{col 54}{space 4}-.7847112{col 67}{space 3}  .516325
{txt}age_at_entry {c |}{col 14}{res}{space 2} -.011112{col 26}{space 2} .0179339{col 37}{space 1}   -0.62{col 46}{space 3}0.536{col 54}{space 4}-.0462618{col 67}{space 3} .0240377
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0542038{col 26}{space 2} .4865759{col 37}{space 1}   -0.11{col 46}{space 3}0.911{col 54}{space 4}-1.007875{col 67}{space 3} .8994674
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .4638419{col 26}{space 2} .4963882{col 37}{space 1}    0.93{col 46}{space 3}0.350{col 54}{space 4}-.5090611{col 67}{space 3} 1.436745
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.519745{col 26}{space 2}  .800706{col 37}{space 1}   -1.90{col 46}{space 3}0.058{col 54}{space 4}  -3.0891{col 67}{space 3} .0496096
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.778738{col 26}{space 2}  .345478{col 37}{space 1}   -5.15{col 46}{space 3}0.000{col 54}{space 4}-2.455862{col 67}{space 3}-1.101613
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-14.96637{col 26}{space 2} .4731065{col 37}{space 1}  -31.63{col 46}{space 3}0.000{col 54}{space 4}-15.89364{col 67}{space 3} -14.0391
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .534193{col 26}{space 2} .9804093{col 37}{space 1}    0.54{col 46}{space 3}0.586{col 54}{space 4}-1.387374{col 67}{space 3}  2.45576
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_clust7.tex"'"':MPCareer_clust7.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_clust7.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1135.1241}  
Iteration 1:{space 3}log pseudolikelihood = {res:-696.17109}  
Iteration 2:{space 3}log pseudolikelihood = {res: -600.4851}  
Iteration 3:{space 3}log pseudolikelihood = {res:-554.60425}  
Iteration 4:{space 3}log pseudolikelihood = {res:-545.68482}  
Iteration 5:{space 3}log pseudolikelihood = {res:-543.88287}  
Iteration 6:{space 3}log pseudolikelihood = {res:-543.51911}  
Iteration 7:{space 3}log pseudolikelihood = {res:-543.44415}  
Iteration 8:{space 3}log pseudolikelihood = {res:-543.42637}  
Iteration 9:{space 3}log pseudolikelihood = {res:-543.42233}  
Iteration 10:{space 2}log pseudolikelihood = {res:-543.42146}  
Iteration 11:{space 2}log pseudolikelihood = {res:-543.42131}  
Iteration 12:{space 2}log pseudolikelihood = {res:-543.42129}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       695
{txt}{col 49}Wald chi2({res}72{txt}){col 67}= {res}  53813.00
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-543.42129{txt}{col 49}Pseudo R2{col 67}= {res}    0.5213

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust7{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} -.392391{col 26}{space 2} .5471827{col 37}{space 1}   -0.72{col 46}{space 3}0.473{col 54}{space 4}-1.464849{col 67}{space 3} .6800673
{txt}state_school {c |}{col 14}{res}{space 2}-.7250061{col 26}{space 2}  .475662{col 37}{space 1}   -1.52{col 46}{space 3}0.127{col 54}{space 4}-1.657286{col 67}{space 3} .2072743
{txt}{space 9}job {c |}{col 14}{res}{space 2} .7288462{col 26}{space 2} .5565217{col 37}{space 1}    1.31{col 46}{space 3}0.190{col 54}{space 4}-.3619164{col 67}{space 3} 1.819609
{txt}age_at_entry {c |}{col 14}{res}{space 2} -.043853{col 26}{space 2} .0374188{col 37}{space 1}   -1.17{col 46}{space 3}0.241{col 54}{space 4}-.1171926{col 67}{space 3} .0294865
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.4988287{col 26}{space 2} .7827318{col 37}{space 1}   -0.64{col 46}{space 3}0.524{col 54}{space 4}-2.032955{col 67}{space 3} 1.035297
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.101312{col 26}{space 2} .8393954{col 37}{space 1}   -1.31{col 46}{space 3}0.190{col 54}{space 4}-2.746496{col 67}{space 3} .5438733
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.986929{col 26}{space 2} .8001804{col 37}{space 1}   -2.48{col 46}{space 3}0.013{col 54}{space 4}-3.555254{col 67}{space 3}-.4186045
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.281376{col 26}{space 2} .5648446{col 37}{space 1}   -2.27{col 46}{space 3}0.023{col 54}{space 4}-2.388451{col 67}{space 3}-.1743006
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.0975022{col 26}{space 2} 1.245051{col 37}{space 1}   -0.08{col 46}{space 3}0.938{col 54}{space 4}-2.537758{col 67}{space 3} 2.342753
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.5900369{col 26}{space 2} .5790961{col 37}{space 1}   -1.02{col 46}{space 3}0.308{col 54}{space 4}-1.725044{col 67}{space 3} .5449706
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 3.669203{col 26}{space 2} 1.090574{col 37}{space 1}    3.36{col 46}{space 3}0.001{col 54}{space 4} 1.531717{col 67}{space 3} 5.806689
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-21.07263{col 26}{space 2} .4823832{col 37}{space 1}  -43.68{col 46}{space 3}0.000{col 54}{space 4}-22.01809{col 67}{space 3}-20.12718
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.878564{col 26}{space 2}  1.97918{col 37}{space 1}    2.46{col 46}{space 3}0.014{col 54}{space 4}  .999442{col 67}{space 3} 8.757686
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} .4686141{col 26}{space 2} .6864842{col 37}{space 1}    0.68{col 46}{space 3}0.495{col 54}{space 4}-.8768702{col 67}{space 3} 1.814098
{txt}state_school {c |}{col 14}{res}{space 2}-.8779102{col 26}{space 2} .6053678{col 37}{space 1}   -1.45{col 46}{space 3}0.147{col 54}{space 4}-2.064409{col 67}{space 3} .3085889
{txt}{space 9}job {c |}{col 14}{res}{space 2} .9370586{col 26}{space 2} .7094545{col 37}{space 1}    1.32{col 46}{space 3}0.187{col 54}{space 4}-.4534466{col 67}{space 3} 2.327564
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0409904{col 26}{space 2} .0407876{col 37}{space 1}   -1.00{col 46}{space 3}0.315{col 54}{space 4}-.1209327{col 67}{space 3} .0389519
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .4576837{col 26}{space 2} 1.010527{col 37}{space 1}    0.45{col 46}{space 3}0.651{col 54}{space 4}-1.522913{col 67}{space 3}  2.43828
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .1263093{col 26}{space 2} 1.076713{col 37}{space 1}    0.12{col 46}{space 3}0.907{col 54}{space 4}-1.984009{col 67}{space 3} 2.236628
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 4.261407{col 26}{space 2} 1.144205{col 37}{space 1}    3.72{col 46}{space 3}0.000{col 54}{space 4} 2.018806{col 67}{space 3} 6.504007
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.653839{col 26}{space 2}  1.17318{col 37}{space 1}    1.41{col 46}{space 3}0.159{col 54}{space 4}-.6455521{col 67}{space 3}  3.95323
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.0123304{col 26}{space 2} 1.727205{col 37}{space 1}   -0.01{col 46}{space 3}0.994{col 54}{space 4} -3.39759{col 67}{space 3}  3.37293
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.4565852{col 26}{space 2} .6356757{col 37}{space 1}   -0.72{col 46}{space 3}0.473{col 54}{space 4}-1.702487{col 67}{space 3} .7893161
{txt}{space 10}2  {c |}{col 14}{res}{space 2}   1.6585{col 26}{space 2} 1.281816{col 37}{space 1}    1.29{col 46}{space 3}0.196{col 54}{space 4} -.853813{col 67}{space 3} 4.170813
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-19.84744{col 26}{space 2} .6049094{col 37}{space 1}  -32.81{col 46}{space 3}0.000{col 54}{space 4}-21.03304{col 67}{space 3}-18.66184
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} -.593846{col 26}{space 2}  2.37893{col 37}{space 1}   -0.25{col 46}{space 3}0.803{col 54}{space 4}-5.256463{col 67}{space 3} 4.068771
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.3916768{col 26}{space 2} .8439282{col 37}{space 1}   -0.46{col 46}{space 3}0.643{col 54}{space 4}-2.045746{col 67}{space 3} 1.262392
{txt}state_school {c |}{col 14}{res}{space 2} .0679816{col 26}{space 2} .7942572{col 37}{space 1}    0.09{col 46}{space 3}0.932{col 54}{space 4}-1.488734{col 67}{space 3} 1.624697
{txt}{space 9}job {c |}{col 14}{res}{space 2} .2552094{col 26}{space 2} .8261836{col 37}{space 1}    0.31{col 46}{space 3}0.757{col 54}{space 4}-1.364081{col 67}{space 3}   1.8745
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.2616205{col 26}{space 2} .0631896{col 37}{space 1}   -4.14{col 46}{space 3}0.000{col 54}{space 4}-.3854697{col 67}{space 3}-.1377712
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.5401584{col 26}{space 2} 1.245035{col 37}{space 1}   -0.43{col 46}{space 3}0.664{col 54}{space 4}-2.980381{col 67}{space 3} 1.900064
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.082472{col 26}{space 2} 1.292222{col 37}{space 1}   -0.84{col 46}{space 3}0.402{col 54}{space 4}-3.615181{col 67}{space 3} 1.450238
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.867174{col 26}{space 2} 1.174435{col 37}{space 1}   -1.59{col 46}{space 3}0.112{col 54}{space 4}-4.169024{col 67}{space 3} .4346752
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.9812922{col 26}{space 2} 1.070534{col 37}{space 1}   -0.92{col 46}{space 3}0.359{col 54}{space 4}  -3.0795{col 67}{space 3} 1.116916
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.9872709{col 26}{space 2} 1.781848{col 37}{space 1}   -0.55{col 46}{space 3}0.580{col 54}{space 4}-4.479628{col 67}{space 3} 2.505086
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-2.271192{col 26}{space 2} 1.165796{col 37}{space 1}   -1.95{col 46}{space 3}0.051{col 54}{space 4} -4.55611{col 67}{space 3}  .013727
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-17.04174{col 26}{space 2} 1.228046{col 37}{space 1}  -13.88{col 46}{space 3}0.000{col 54}{space 4}-19.44867{col 67}{space 3}-14.63482
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-22.42089{col 26}{space 2} .8031986{col 37}{space 1}  -27.91{col 46}{space 3}0.000{col 54}{space 4}-23.99513{col 67}{space 3}-20.84665
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 11.76631{col 26}{space 2} 2.814714{col 37}{space 1}    4.18{col 46}{space 3}0.000{col 54}{space 4} 6.249568{col 67}{space 3} 17.28305
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_5     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} -.272039{col 26}{space 2} .5196926{col 37}{space 1}   -0.52{col 46}{space 3}0.601{col 54}{space 4}-1.290618{col 67}{space 3} .7465398
{txt}state_school {c |}{col 14}{res}{space 2}-.1258477{col 26}{space 2} .4492991{col 37}{space 1}   -0.28{col 46}{space 3}0.779{col 54}{space 4}-1.006458{col 67}{space 3} .7547622
{txt}{space 9}job {c |}{col 14}{res}{space 2} .5375591{col 26}{space 2} .5168977{col 37}{space 1}    1.04{col 46}{space 3}0.298{col 54}{space 4}-.4755417{col 67}{space 3}  1.55066
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0449821{col 26}{space 2} .0353079{col 37}{space 1}   -1.27{col 46}{space 3}0.203{col 54}{space 4}-.1141843{col 67}{space 3} .0242201
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1115103{col 26}{space 2} .7994958{col 37}{space 1}   -0.14{col 46}{space 3}0.889{col 54}{space 4}-1.678493{col 67}{space 3} 1.455473
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  -.32125{col 26}{space 2} .8305872{col 37}{space 1}   -0.39{col 46}{space 3}0.699{col 54}{space 4}-1.949171{col 67}{space 3} 1.306671
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-2.314209{col 26}{space 2}  .736314{col 37}{space 1}   -3.14{col 46}{space 3}0.002{col 54}{space 4}-3.757358{col 67}{space 3}-.8710598
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.7637171{col 26}{space 2} .5040868{col 37}{space 1}   -1.52{col 46}{space 3}0.130{col 54}{space 4}-1.751709{col 67}{space 3}  .224275
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.2252861{col 26}{space 2} 1.196706{col 37}{space 1}   -0.19{col 46}{space 3}0.851{col 54}{space 4}-2.570786{col 67}{space 3} 2.120214
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.2607603{col 26}{space 2} .5111173{col 37}{space 1}   -0.51{col 46}{space 3}0.610{col 54}{space 4}-1.262532{col 67}{space 3} .7410112
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-16.96995{col 26}{space 2} 1.059755{col 37}{space 1}  -16.01{col 46}{space 3}0.000{col 54}{space 4}-19.04703{col 67}{space 3}-14.89286
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -21.9081{col 26}{space 2} .4605917{col 37}{space 1}  -47.57{col 46}{space 3}0.000{col 54}{space 4}-22.81085{col 67}{space 3}-21.00536
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.767783{col 26}{space 2} 1.841681{col 37}{space 1}    2.59{col 46}{space 3}0.010{col 54}{space 4} 1.158155{col 67}{space 3} 8.377412
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_6     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} .3677135{col 26}{space 2} .6358799{col 37}{space 1}    0.58{col 46}{space 3}0.563{col 54}{space 4}-.8785883{col 67}{space 3} 1.614015
{txt}state_school {c |}{col 14}{res}{space 2}-1.053668{col 26}{space 2} .5470459{col 37}{space 1}   -1.93{col 46}{space 3}0.054{col 54}{space 4}-2.125858{col 67}{space 3} .0185222
{txt}{space 9}job {c |}{col 14}{res}{space 2} .5130926{col 26}{space 2} .6512553{col 37}{space 1}    0.79{col 46}{space 3}0.431{col 54}{space 4}-.7633443{col 67}{space 3}  1.78953
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0962969{col 26}{space 2} .0408011{col 37}{space 1}   -2.36{col 46}{space 3}0.018{col 54}{space 4}-.1762655{col 67}{space 3}-.0163283
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  .844281{col 26}{space 2} 1.195622{col 37}{space 1}    0.71{col 46}{space 3}0.480{col 54}{space 4}-1.499094{col 67}{space 3} 3.187656
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .6217032{col 26}{space 2} 1.261112{col 37}{space 1}    0.49{col 46}{space 3}0.622{col 54}{space 4}-1.850031{col 67}{space 3} 3.093437
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .7990951{col 26}{space 2} .8319392{col 37}{space 1}    0.96{col 46}{space 3}0.337{col 54}{space 4}-.8314758{col 67}{space 3} 2.429666
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2886149{col 26}{space 2} .7166329{col 37}{space 1}   -0.40{col 46}{space 3}0.687{col 54}{space 4} -1.69319{col 67}{space 3}  1.11596
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .7273553{col 26}{space 2} 1.482192{col 37}{space 1}    0.49{col 46}{space 3}0.624{col 54}{space 4}-2.177688{col 67}{space 3} 3.632399
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1542565{col 26}{space 2} .6963763{col 37}{space 1}   -0.22{col 46}{space 3}0.825{col 54}{space 4}-1.519129{col 67}{space 3} 1.210616
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 2.765171{col 26}{space 2} 1.221293{col 37}{space 1}    2.26{col 46}{space 3}0.024{col 54}{space 4}  .371481{col 67}{space 3} 5.158861
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-4.907019{col 26}{space 2} 1.118247{col 37}{space 1}   -4.39{col 46}{space 3}0.000{col 54}{space 4}-7.098743{col 67}{space 3}-2.715295
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.617588{col 26}{space 2} 2.332063{col 37}{space 1}    1.55{col 46}{space 3}0.121{col 54}{space 4}-.9531712{col 67}{space 3} 8.188347
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_7     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.6743251{col 26}{space 2} .6061699{col 37}{space 1}   -1.11{col 46}{space 3}0.266{col 54}{space 4}-1.862396{col 67}{space 3} .5137461
{txt}state_school {c |}{col 14}{res}{space 2}-.4841631{col 26}{space 2} .5247691{col 37}{space 1}   -0.92{col 46}{space 3}0.356{col 54}{space 4}-1.512692{col 67}{space 3} .5443653
{txt}{space 9}job {c |}{col 14}{res}{space 2} .7110147{col 26}{space 2} .6042366{col 37}{space 1}    1.18{col 46}{space 3}0.239{col 54}{space 4}-.4732673{col 67}{space 3} 1.895297
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0965666{col 26}{space 2} .0380624{col 37}{space 1}   -2.54{col 46}{space 3}0.011{col 54}{space 4}-.1711676{col 67}{space 3}-.0219656
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.6721079{col 26}{space 2} .8545302{col 37}{space 1}   -0.79{col 46}{space 3}0.432{col 54}{space 4}-2.346956{col 67}{space 3}  1.00274
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.7665162{col 26}{space 2} .8918227{col 37}{space 1}   -0.86{col 46}{space 3}0.390{col 54}{space 4}-2.514457{col 67}{space 3} .9814242
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-2.135448{col 26}{space 2} .9154928{col 37}{space 1}   -2.33{col 46}{space 3}0.020{col 54}{space 4}-3.929781{col 67}{space 3}-.3411148
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0852215{col 26}{space 2} .5834765{col 37}{space 1}    0.15{col 46}{space 3}0.884{col 54}{space 4}-1.058371{col 67}{space 3} 1.228814
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-17.80909{col 26}{space 2} 1.189455{col 37}{space 1}  -14.97{col 46}{space 3}0.000{col 54}{space 4}-20.14038{col 67}{space 3} -15.4778
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-19.71454{col 26}{space 2} .5353999{col 37}{space 1}  -36.82{col 46}{space 3}0.000{col 54}{space 4} -20.7639{col 67}{space 3}-18.66518
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-17.86517{col 26}{space 2} 1.081115{col 37}{space 1}  -16.52{col 46}{space 3}0.000{col 54}{space 4}-19.98412{col 67}{space 3}-15.74623
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-23.00335{col 26}{space 2} .6030683{col 37}{space 1}  -38.14{col 46}{space 3}0.000{col 54}{space 4}-24.18535{col 67}{space 3}-21.82136
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 6.999065{col 26}{space 2} 1.999418{col 37}{space 1}    3.50{col 46}{space 3}0.000{col 54}{space 4} 3.080277{col 67}{space 3} 10.91785
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_clust7.tex"'"':MPCareer_clust7.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_clust7.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1246.6928}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1214.4816}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1210.9404}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1210.8714}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1210.8714}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       695
{txt}{col 49}Wald chi2({res}42{txt}){col 67}= {res}     70.62
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0037
{txt}Log pseudolikelihood = {res}-1210.8714{txt}{col 49}Pseudo R2{col 67}= {res}    0.0287

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust8{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} -.252351{col 26}{space 2} .2951492{col 37}{space 1}   -0.85{col 46}{space 3}0.393{col 54}{space 4}-.8308328{col 67}{space 3} .3261307
{txt}state_school {c |}{col 14}{res}{space 2}  .190792{col 26}{space 2} .2619359{col 37}{space 1}    0.73{col 46}{space 3}0.466{col 54}{space 4}-.3225929{col 67}{space 3} .7041768
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.4800575{col 26}{space 2} .3056247{col 37}{space 1}   -1.57{col 46}{space 3}0.116{col 54}{space 4}-1.079071{col 67}{space 3} .1189559
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0154939{col 26}{space 2} .0154767{col 37}{space 1}   -1.00{col 46}{space 3}0.317{col 54}{space 4}-.0458277{col 67}{space 3} .0148399
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2480113{col 26}{space 2} .4015038{col 37}{space 1}    0.62{col 46}{space 3}0.537{col 54}{space 4}-.5389218{col 67}{space 3} 1.034944
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0290731{col 26}{space 2} .4547211{col 37}{space 1}   -0.06{col 46}{space 3}0.949{col 54}{space 4}-.9203101{col 67}{space 3} .8621639
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.4504599{col 26}{space 2} .8360326{col 37}{space 1}   -0.54{col 46}{space 3}0.590{col 54}{space 4}-2.089054{col 67}{space 3} 1.188134
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} -.418953{col 26}{space 2} .4403077{col 37}{space 1}   -0.95{col 46}{space 3}0.341{col 54}{space 4} -1.28194{col 67}{space 3} .4440343
{txt}state_school {c |}{col 14}{res}{space 2} -.097241{col 26}{space 2} .3828089{col 37}{space 1}   -0.25{col 46}{space 3}0.799{col 54}{space 4}-.8475326{col 67}{space 3} .6530506
{txt}{space 9}job {c |}{col 14}{res}{space 2}  .200175{col 26}{space 2} .3695826{col 37}{space 1}    0.54{col 46}{space 3}0.588{col 54}{space 4}-.5241936{col 67}{space 3} .9245437
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0185748{col 26}{space 2} .0258083{col 37}{space 1}    0.72{col 46}{space 3}0.472{col 54}{space 4}-.0320085{col 67}{space 3}  .069158
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .7127308{col 26}{space 2} .6328653{col 37}{space 1}    1.13{col 46}{space 3}0.260{col 54}{space 4}-.5276625{col 67}{space 3} 1.953124
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .6353468{col 26}{space 2} .6709251{col 37}{space 1}    0.95{col 46}{space 3}0.344{col 54}{space 4}-.6796421{col 67}{space 3} 1.950336
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-3.194568{col 26}{space 2} 1.270252{col 37}{space 1}   -2.51{col 46}{space 3}0.012{col 54}{space 4}-5.684217{col 67}{space 3}-.7049196
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.1142464{col 26}{space 2} .6701062{col 37}{space 1}   -0.17{col 46}{space 3}0.865{col 54}{space 4} -1.42763{col 67}{space 3} 1.199138
{txt}state_school {c |}{col 14}{res}{space 2} .9763915{col 26}{space 2} .6814235{col 37}{space 1}    1.43{col 46}{space 3}0.152{col 54}{space 4} -.359174{col 67}{space 3} 2.311957
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.4352928{col 26}{space 2} .6261828{col 37}{space 1}   -0.70{col 46}{space 3}0.487{col 54}{space 4}-1.662588{col 67}{space 3} .7920028
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.1804657{col 26}{space 2} .0493649{col 37}{space 1}   -3.66{col 46}{space 3}0.000{col 54}{space 4}-.2772191{col 67}{space 3}-.0837124
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.6561357{col 26}{space 2} .9059259{col 37}{space 1}   -0.72{col 46}{space 3}0.469{col 54}{space 4}-2.431718{col 67}{space 3} 1.119446
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.4137491{col 26}{space 2}  .968548{col 37}{space 1}   -0.43{col 46}{space 3}0.669{col 54}{space 4}-2.312068{col 67}{space 3}  1.48457
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.133254{col 26}{space 2} 2.179397{col 37}{space 1}    1.90{col 46}{space 3}0.058{col 54}{space 4}-.1382849{col 67}{space 3} 8.404794
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_5     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.1967215{col 26}{space 2} .3138703{col 37}{space 1}   -0.63{col 46}{space 3}0.531{col 54}{space 4} -.811896{col 67}{space 3}  .418453
{txt}state_school {c |}{col 14}{res}{space 2} .0184431{col 26}{space 2} .2790932{col 37}{space 1}    0.07{col 46}{space 3}0.947{col 54}{space 4}-.5285696{col 67}{space 3} .5654558
{txt}{space 9}job {c |}{col 14}{res}{space 2} .4670641{col 26}{space 2} .2787787{col 37}{space 1}    1.68{col 46}{space 3}0.094{col 54}{space 4} -.079332{col 67}{space 3}  1.01346
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0253833{col 26}{space 2} .0192652{col 37}{space 1}    1.32{col 46}{space 3}0.188{col 54}{space 4}-.0123759{col 67}{space 3} .0631425
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0228122{col 26}{space 2} .4026939{col 37}{space 1}    0.06{col 46}{space 3}0.955{col 54}{space 4}-.7664533{col 67}{space 3} .8120776
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0703025{col 26}{space 2} .4437277{col 37}{space 1}    0.16{col 46}{space 3}0.874{col 54}{space 4}-.7993877{col 67}{space 3} .9399928
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.352868{col 26}{space 2} 1.034322{col 37}{space 1}   -2.27{col 46}{space 3}0.023{col 54}{space 4}-4.380103{col 67}{space 3}-.3256338
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_6     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.4848627{col 26}{space 2} .2452893{col 37}{space 1}   -1.98{col 46}{space 3}0.048{col 54}{space 4}-.9656208{col 67}{space 3}-.0041045
{txt}state_school {c |}{col 14}{res}{space 2} .4647081{col 26}{space 2} .2214582{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4}  .030658{col 67}{space 3} .8987581
{txt}{space 9}job {c |}{col 14}{res}{space 2} .0373189{col 26}{space 2} .2323774{col 37}{space 1}    0.16{col 46}{space 3}0.872{col 54}{space 4}-.4181325{col 67}{space 3} .4927702
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0190571{col 26}{space 2}  .012962{col 37}{space 1}    1.47{col 46}{space 3}0.142{col 54}{space 4}-.0063481{col 67}{space 3} .0444622
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  .511355{col 26}{space 2} .3532781{col 37}{space 1}    1.45{col 46}{space 3}0.148{col 54}{space 4}-.1810573{col 67}{space 3} 1.203767
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  .989274{col 26}{space 2} .3736373{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4} .2569584{col 67}{space 3}  1.72159
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.035562{col 26}{space 2} .7042869{col 37}{space 1}   -2.89{col 46}{space 3}0.004{col 54}{space 4}-3.415939{col 67}{space 3}-.6551852
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_7     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.0101415{col 26}{space 2} .4067025{col 37}{space 1}   -0.02{col 46}{space 3}0.980{col 54}{space 4}-.8072638{col 67}{space 3} .7869807
{txt}state_school {c |}{col 14}{res}{space 2}-.4264658{col 26}{space 2} .3703745{col 37}{space 1}   -1.15{col 46}{space 3}0.250{col 54}{space 4}-1.152387{col 67}{space 3} .2994548
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.0638631{col 26}{space 2} .3923129{col 37}{space 1}   -0.16{col 46}{space 3}0.871{col 54}{space 4}-.8327822{col 67}{space 3} .7050559
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0530972{col 26}{space 2} .0239335{col 37}{space 1}   -2.22{col 46}{space 3}0.027{col 54}{space 4} -.100006{col 67}{space 3}-.0061883
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.430108{col 26}{space 2} 1.046167{col 37}{space 1}    1.37{col 46}{space 3}0.172{col 54}{space 4}-.6203416{col 67}{space 3} 3.480557
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.587771{col 26}{space 2} 1.066393{col 37}{space 1}    1.49{col 46}{space 3}0.137{col 54}{space 4}-.5023207{col 67}{space 3} 3.677863
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.7998183{col 26}{space 2}   1.4361{col 37}{space 1}   -0.56{col 46}{space 3}0.578{col 54}{space 4}-3.614522{col 67}{space 3} 2.014885
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_8     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.5344238{col 26}{space 2} .3612662{col 37}{space 1}   -1.48{col 46}{space 3}0.139{col 54}{space 4}-1.242492{col 67}{space 3} .1736449
{txt}state_school {c |}{col 14}{res}{space 2}-.0454633{col 26}{space 2}  .308543{col 37}{space 1}   -0.15{col 46}{space 3}0.883{col 54}{space 4}-.6501964{col 67}{space 3} .5592699
{txt}{space 9}job {c |}{col 14}{res}{space 2} .0904212{col 26}{space 2} .3290598{col 37}{space 1}    0.27{col 46}{space 3}0.783{col 54}{space 4}-.5545242{col 67}{space 3} .7353667
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0058926{col 26}{space 2} .0165237{col 37}{space 1}   -0.36{col 46}{space 3}0.721{col 54}{space 4}-.0382784{col 67}{space 3} .0264932
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0481703{col 26}{space 2} .4753506{col 37}{space 1}   -0.10{col 46}{space 3}0.919{col 54}{space 4}-.9798403{col 67}{space 3} .8834996
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .5846934{col 26}{space 2}  .480979{col 37}{space 1}    1.22{col 46}{space 3}0.224{col 54}{space 4}-.3580082{col 67}{space 3} 1.527395
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-1.187893{col 26}{space 2} .9060774{col 37}{space 1}   -1.31{col 46}{space 3}0.190{col 54}{space 4}-2.963773{col 67}{space 3} .5879857
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_clust8.tex"'"':MPCareer_clust8.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_clust8.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1246.6928}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1197.7386}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1095.6117}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1074.5927}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1069.8523}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1069.4263}  
Iteration 6:{space 3}log pseudolikelihood = {res: -1069.358}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1069.3419}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1069.3385}  
Iteration 9:{space 3}log pseudolikelihood = {res: -1069.338}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1069.3379}  
Iteration 11:{space 2}log pseudolikelihood = {res:-1069.3379}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       695
{txt}{col 49}Wald chi2({res}63{txt}){col 67}= {res}   7090.82
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1069.3379{txt}{col 49}Pseudo R2{col 67}= {res}    0.1423

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust8{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.4322175{col 26}{space 2} .3070767{col 37}{space 1}   -1.41{col 46}{space 3}0.159{col 54}{space 4}-1.034077{col 67}{space 3} .1696418
{txt}state_school {c |}{col 14}{res}{space 2} .0312935{col 26}{space 2} .2849122{col 37}{space 1}    0.11{col 46}{space 3}0.913{col 54}{space 4}-.5271241{col 67}{space 3} .5897112
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.5582773{col 26}{space 2} .3069806{col 37}{space 1}   -1.82{col 46}{space 3}0.069{col 54}{space 4}-1.159948{col 67}{space 3} .0433936
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0189842{col 26}{space 2} .0167511{col 37}{space 1}   -1.13{col 46}{space 3}0.257{col 54}{space 4}-.0518157{col 67}{space 3} .0138473
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2307844{col 26}{space 2} .4161675{col 37}{space 1}    0.55{col 46}{space 3}0.579{col 54}{space 4}-.5848888{col 67}{space 3} 1.046458
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0702434{col 26}{space 2} .4730798{col 37}{space 1}   -0.15{col 46}{space 3}0.882{col 54}{space 4}-.9974627{col 67}{space 3} .8569759
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .1065079{col 26}{space 2} .5001813{col 37}{space 1}    0.21{col 46}{space 3}0.831{col 54}{space 4}-.8738294{col 67}{space 3} 1.086845
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.7488471{col 26}{space 2} .3060509{col 37}{space 1}   -2.45{col 46}{space 3}0.014{col 54}{space 4}-1.348696{col 67}{space 3}-.1489984
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-14.84501{col 26}{space 2} .4160495{col 37}{space 1}  -35.68{col 46}{space 3}0.000{col 54}{space 4}-15.66045{col 67}{space 3}-14.02957
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .353009{col 26}{space 2}   .92855{col 37}{space 1}    0.38{col 46}{space 3}0.704{col 54}{space 4}-1.466915{col 67}{space 3} 2.172933
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} .0911255{col 26}{space 2}  .502191{col 37}{space 1}    0.18{col 46}{space 3}0.856{col 54}{space 4}-.8931508{col 67}{space 3} 1.075402
{txt}state_school {c |}{col 14}{res}{space 2}-.4154111{col 26}{space 2} .4654215{col 37}{space 1}   -0.89{col 46}{space 3}0.372{col 54}{space 4}-1.327621{col 67}{space 3} .4967983
{txt}{space 9}job {c |}{col 14}{res}{space 2}  .229024{col 26}{space 2} .4860423{col 37}{space 1}    0.47{col 46}{space 3}0.637{col 54}{space 4}-.7236015{col 67}{space 3} 1.181649
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0057316{col 26}{space 2} .0251948{col 37}{space 1}    0.23{col 46}{space 3}0.820{col 54}{space 4}-.0436493{col 67}{space 3} .0551124
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.046552{col 26}{space 2} .7454143{col 37}{space 1}    1.40{col 46}{space 3}0.160{col 54}{space 4}-.4144333{col 67}{space 3} 2.507537
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .9691713{col 26}{space 2} .8145267{col 37}{space 1}    1.19{col 46}{space 3}0.234{col 54}{space 4}-.6272717{col 67}{space 3} 2.565614
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 5.146199{col 26}{space 2} 1.049877{col 37}{space 1}    4.90{col 46}{space 3}0.000{col 54}{space 4} 3.088478{col 67}{space 3} 7.203919
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .7947404{col 26}{space 2} 1.125443{col 37}{space 1}    0.71{col 46}{space 3}0.480{col 54}{space 4}-1.411087{col 67}{space 3} 3.000568
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .2806335{col 26}{space 2} 1.341069{col 37}{space 1}    0.21{col 46}{space 3}0.834{col 54}{space 4}-2.347813{col 67}{space 3}  2.90908
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-5.286448{col 26}{space 2} 1.740192{col 37}{space 1}   -3.04{col 46}{space 3}0.002{col 54}{space 4}-8.697163{col 67}{space 3}-1.875734
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.6329472{col 26}{space 2} .6689712{col 37}{space 1}   -0.95{col 46}{space 3}0.344{col 54}{space 4}-1.944107{col 67}{space 3} .6782123
{txt}state_school {c |}{col 14}{res}{space 2} .3080177{col 26}{space 2}  .687598{col 37}{space 1}    0.45{col 46}{space 3}0.654{col 54}{space 4} -1.03965{col 67}{space 3} 1.655685
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.5404858{col 26}{space 2} .6251633{col 37}{space 1}   -0.86{col 46}{space 3}0.387{col 54}{space 4}-1.765783{col 67}{space 3} .6848118
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.1772559{col 26}{space 2} .0457873{col 37}{space 1}   -3.87{col 46}{space 3}0.000{col 54}{space 4}-.2669973{col 67}{space 3}-.0875145
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.5655279{col 26}{space 2} .8648182{col 37}{space 1}   -0.65{col 46}{space 3}0.513{col 54}{space 4}-2.260541{col 67}{space 3} 1.129485
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.5687694{col 26}{space 2}  .967265{col 37}{space 1}   -0.59{col 46}{space 3}0.557{col 54}{space 4}-2.464574{col 67}{space 3} 1.327035
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.8473613{col 26}{space 2} 1.098581{col 37}{space 1}   -0.77{col 46}{space 3}0.441{col 54}{space 4} -3.00054{col 67}{space 3} 1.305818
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-2.488363{col 26}{space 2} .7987909{col 37}{space 1}   -3.12{col 46}{space 3}0.002{col 54}{space 4}-4.053964{col 67}{space 3}-.9227615
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.4259761{col 26}{space 2} 1.054249{col 37}{space 1}   -0.40{col 46}{space 3}0.686{col 54}{space 4}-2.492266{col 67}{space 3} 1.640313
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  5.69167{col 26}{space 2} 2.128507{col 37}{space 1}    2.67{col 46}{space 3}0.007{col 54}{space 4} 1.519873{col 67}{space 3} 9.863468
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_5     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.5799727{col 26}{space 2} .3361087{col 37}{space 1}   -1.73{col 46}{space 3}0.084{col 54}{space 4}-1.238734{col 67}{space 3} .0787882
{txt}state_school {c |}{col 14}{res}{space 2}-.6431872{col 26}{space 2} .3242763{col 37}{space 1}   -1.98{col 46}{space 3}0.047{col 54}{space 4}-1.278757{col 67}{space 3}-.0076174
{txt}{space 9}job {c |}{col 14}{res}{space 2} .3174546{col 26}{space 2} .2934091{col 37}{space 1}    1.08{col 46}{space 3}0.279{col 54}{space 4}-.2576166{col 67}{space 3} .8925258
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0232757{col 26}{space 2} .0208161{col 37}{space 1}    1.12{col 46}{space 3}0.263{col 54}{space 4}-.0175231{col 67}{space 3} .0640745
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0753848{col 26}{space 2} .4232713{col 37}{space 1}    0.18{col 46}{space 3}0.859{col 54}{space 4}-.7542117{col 67}{space 3} .9049813
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0476831{col 26}{space 2} .4753605{col 37}{space 1}   -0.10{col 46}{space 3}0.920{col 54}{space 4}-.9793726{col 67}{space 3} .8840064
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.480907{col 26}{space 2} .6921668{col 37}{space 1}   -2.14{col 46}{space 3}0.032{col 54}{space 4}-2.837529{col 67}{space 3}-.1242848
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-2.249103{col 26}{space 2} .3672905{col 37}{space 1}   -6.12{col 46}{space 3}0.000{col 54}{space 4}-2.968979{col 67}{space 3}-1.529227
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .8000546{col 26}{space 2} .6927103{col 37}{space 1}    1.15{col 46}{space 3}0.248{col 54}{space 4}-.5576326{col 67}{space 3} 2.157742
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.7406396{col 26}{space 2} 1.109275{col 37}{space 1}   -0.67{col 46}{space 3}0.504{col 54}{space 4}-2.914779{col 67}{space 3}   1.4335
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_6     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.9478152{col 26}{space 2} .2679176{col 37}{space 1}   -3.54{col 46}{space 3}0.000{col 54}{space 4}-1.472924{col 67}{space 3}-.4227063
{txt}state_school {c |}{col 14}{res}{space 2}-.1632165{col 26}{space 2} .2444774{col 37}{space 1}   -0.67{col 46}{space 3}0.504{col 54}{space 4}-.6423833{col 67}{space 3} .3159503
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1421049{col 26}{space 2} .2555291{col 37}{space 1}   -0.56{col 46}{space 3}0.578{col 54}{space 4}-.6429328{col 67}{space 3}  .358723
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0162409{col 26}{space 2} .0147481{col 37}{space 1}    1.10{col 46}{space 3}0.271{col 54}{space 4}-.0126649{col 67}{space 3} .0451468
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .5169649{col 26}{space 2} .3658639{col 37}{space 1}    1.41{col 46}{space 3}0.158{col 54}{space 4}-.2001153{col 67}{space 3} 1.234045
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .8307958{col 26}{space 2} .3905382{col 37}{space 1}    2.13{col 46}{space 3}0.033{col 54}{space 4}  .065355{col 67}{space 3} 1.596237
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.641432{col 26}{space 2} .5647234{col 37}{space 1}   -2.91{col 46}{space 3}0.004{col 54}{space 4}-2.748269{col 67}{space 3} -.534594
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-2.114923{col 26}{space 2} .2672718{col 37}{space 1}   -7.91{col 46}{space 3}0.000{col 54}{space 4}-2.638766{col 67}{space 3} -1.59108
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.2312304{col 26}{space 2} .6091336{col 37}{space 1}   -0.38{col 46}{space 3}0.704{col 54}{space 4} -1.42511{col 67}{space 3} .9626496
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.2783431{col 26}{space 2} .8126635{col 37}{space 1}   -0.34{col 46}{space 3}0.732{col 54}{space 4}-1.871134{col 67}{space 3} 1.314448
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_7     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} .0745968{col 26}{space 2} .4740716{col 37}{space 1}    0.16{col 46}{space 3}0.875{col 54}{space 4}-.8545666{col 67}{space 3}  1.00376
{txt}state_school {c |}{col 14}{res}{space 2}-.7327696{col 26}{space 2} .4168153{col 37}{space 1}   -1.76{col 46}{space 3}0.079{col 54}{space 4}-1.549713{col 67}{space 3} .0841734
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1414087{col 26}{space 2} .4259496{col 37}{space 1}   -0.33{col 46}{space 3}0.740{col 54}{space 4}-.9762547{col 67}{space 3} .6934372
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0500861{col 26}{space 2} .0225234{col 37}{space 1}   -2.22{col 46}{space 3}0.026{col 54}{space 4}-.0942311{col 67}{space 3}-.0059411
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.543179{col 26}{space 2} 1.004922{col 37}{space 1}    1.54{col 46}{space 3}0.125{col 54}{space 4}-.4264322{col 67}{space 3}  3.51279
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.638818{col 26}{space 2} 1.032759{col 37}{space 1}    1.59{col 46}{space 3}0.113{col 54}{space 4}-.3853524{col 67}{space 3} 3.662988
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.981059{col 26}{space 2} .5568673{col 37}{space 1}    3.56{col 46}{space 3}0.000{col 54}{space 4} .8896196{col 67}{space 3} 3.072499
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.6654548{col 26}{space 2} .5277055{col 37}{space 1}   -1.26{col 46}{space 3}0.207{col 54}{space 4}-1.699739{col 67}{space 3} .3688288
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .9705329{col 26}{space 2} .7404714{col 37}{space 1}    1.31{col 46}{space 3}0.190{col 54}{space 4}-.4807643{col 67}{space 3}  2.42183
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.9071837{col 26}{space 2} 1.507087{col 37}{space 1}   -0.60{col 46}{space 3}0.547{col 54}{space 4}-3.861021{col 67}{space 3} 2.046653
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_8     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-1.016764{col 26}{space 2}   .38173{col 37}{space 1}   -2.66{col 46}{space 3}0.008{col 54}{space 4}-1.764941{col 67}{space 3}-.2685869
{txt}state_school {c |}{col 14}{res}{space 2}-.5199575{col 26}{space 2} .3344514{col 37}{space 1}   -1.55{col 46}{space 3}0.120{col 54}{space 4} -1.17547{col 67}{space 3} .1355551
{txt}{space 9}job {c |}{col 14}{res}{space 2} -.107644{col 26}{space 2}  .332563{col 37}{space 1}   -0.32{col 46}{space 3}0.746{col 54}{space 4}-.7594556{col 67}{space 3} .5441676
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0102667{col 26}{space 2}  .018063{col 37}{space 1}   -0.57{col 46}{space 3}0.570{col 54}{space 4}-.0456695{col 67}{space 3} .0251361
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0593308{col 26}{space 2} .4858157{col 37}{space 1}   -0.12{col 46}{space 3}0.903{col 54}{space 4}-1.011512{col 67}{space 3} .8928506
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .4645248{col 26}{space 2} .4959617{col 37}{space 1}    0.94{col 46}{space 3}0.349{col 54}{space 4}-.5075423{col 67}{space 3} 1.436592
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.512573{col 26}{space 2} .7995421{col 37}{space 1}   -1.89{col 46}{space 3}0.059{col 54}{space 4}-3.079647{col 67}{space 3} .0545008
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.778451{col 26}{space 2} .3491427{col 37}{space 1}   -5.09{col 46}{space 3}0.000{col 54}{space 4}-2.462758{col 67}{space 3}-1.094143
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-15.17341{col 26}{space 2} .4997496{col 37}{space 1}  -30.36{col 46}{space 3}0.000{col 54}{space 4} -16.1529{col 67}{space 3}-14.19392
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5005111{col 26}{space 2} .9793722{col 37}{space 1}    0.51{col 46}{space 3}0.609{col 54}{space 4}-1.419023{col 67}{space 3} 2.420045
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_clust8.tex"'"':MPCareer_clust8.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_clust8.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1246.6928}  
Iteration 1:{space 3}log pseudolikelihood = {res:-769.21291}  
Iteration 2:{space 3}log pseudolikelihood = {res:-669.14095}  
Iteration 3:{space 3}log pseudolikelihood = {res:-606.13897}  
Iteration 4:{space 3}log pseudolikelihood = {res:-593.97842}  
Iteration 5:{space 3}log pseudolikelihood = {res:-591.68441}  
Iteration 6:{space 3}log pseudolikelihood = {res:-591.18045}  
Iteration 7:{space 3}log pseudolikelihood = {res:-591.06713}  
Iteration 8:{space 3}log pseudolikelihood = {res:-591.05031}  
Iteration 9:{space 3}log pseudolikelihood = {res:-591.04826}  
Iteration 10:{space 2}log pseudolikelihood = {res:-591.04786}  
Iteration 11:{space 2}log pseudolikelihood = {res:-591.04778}  
Iteration 12:{space 2}log pseudolikelihood = {res:-591.04775}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       695
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(81)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-591.04775{txt}{col 49}Pseudo R2{col 67}= {res}    0.5259

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust8{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.5180545{col 26}{space 2} .7013441{col 37}{space 1}   -0.74{col 46}{space 3}0.460{col 54}{space 4}-1.892664{col 67}{space 3} .8565546
{txt}state_school {c |}{col 14}{res}{space 2}-.2960456{col 26}{space 2} .5760455{col 37}{space 1}   -0.51{col 46}{space 3}0.607{col 54}{space 4}-1.425074{col 67}{space 3} .8329829
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.0498034{col 26}{space 2} .6591235{col 37}{space 1}   -0.08{col 46}{space 3}0.940{col 54}{space 4}-1.341662{col 67}{space 3} 1.242055
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0518574{col 26}{space 2} .0449054{col 37}{space 1}   -1.15{col 46}{space 3}0.248{col 54}{space 4}-.1398703{col 67}{space 3} .0361555
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.2237446{col 26}{space 2} .9275051{col 37}{space 1}   -0.24{col 46}{space 3}0.809{col 54}{space 4}-2.041621{col 67}{space 3} 1.594132
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.7487423{col 26}{space 2} 1.028275{col 37}{space 1}   -0.73{col 46}{space 3}0.467{col 54}{space 4}-2.764124{col 67}{space 3}  1.26664
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.406737{col 26}{space 2} .9133785{col 37}{space 1}   -1.54{col 46}{space 3}0.124{col 54}{space 4}-3.196926{col 67}{space 3}  .383452
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.9518776{col 26}{space 2} .6876586{col 37}{space 1}   -1.38{col 46}{space 3}0.166{col 54}{space 4}-2.299664{col 67}{space 3} .3959084
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-17.91112{col 26}{space 2} 1.386738{col 37}{space 1}  -12.92{col 46}{space 3}0.000{col 54}{space 4}-20.62907{col 67}{space 3}-15.19316
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  17.2069{col 26}{space 2} .5580472{col 37}{space 1}   30.83{col 46}{space 3}0.000{col 54}{space 4} 16.11315{col 67}{space 3} 18.30065
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 21.37474{col 26}{space 2} .9872857{col 37}{space 1}   21.65{col 46}{space 3}0.000{col 54}{space 4}  19.4397{col 67}{space 3} 23.30978
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-3.594118{col 26}{space 2} .4766674{col 37}{space 1}   -7.54{col 46}{space 3}0.000{col 54}{space 4}-4.528369{col 67}{space 3}-2.659867
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-13.20569{col 26}{space 2} 2.435102{col 37}{space 1}   -5.42{col 46}{space 3}0.000{col 54}{space 4} -17.9784{col 67}{space 3}-8.432972
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} .4720689{col 26}{space 2} .7027398{col 37}{space 1}    0.67{col 46}{space 3}0.502{col 54}{space 4}-.9052758{col 67}{space 3} 1.849414
{txt}state_school {c |}{col 14}{res}{space 2}-.7871894{col 26}{space 2} .6119893{col 37}{space 1}   -1.29{col 46}{space 3}0.198{col 54}{space 4}-1.986666{col 67}{space 3} .4122877
{txt}{space 9}job {c |}{col 14}{res}{space 2} .7913368{col 26}{space 2} .7058188{col 37}{space 1}    1.12{col 46}{space 3}0.262{col 54}{space 4}-.5920427{col 67}{space 3} 2.174716
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0437174{col 26}{space 2} .0406813{col 37}{space 1}   -1.07{col 46}{space 3}0.283{col 54}{space 4}-.1234513{col 67}{space 3} .0360164
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .4665254{col 26}{space 2} 1.018756{col 37}{space 1}    0.46{col 46}{space 3}0.647{col 54}{space 4}  -1.5302{col 67}{space 3} 2.463251
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .1362973{col 26}{space 2} 1.087541{col 37}{space 1}    0.13{col 46}{space 3}0.900{col 54}{space 4}-1.995244{col 67}{space 3} 2.267839
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 4.219937{col 26}{space 2} 1.132853{col 37}{space 1}    3.73{col 46}{space 3}0.000{col 54}{space 4} 1.999586{col 67}{space 3} 6.440288
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.640207{col 26}{space 2} 1.179128{col 37}{space 1}    1.39{col 46}{space 3}0.164{col 54}{space 4}-.6708422{col 67}{space 3} 3.951257
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.4677794{col 26}{space 2}  1.90232{col 37}{space 1}   -0.25{col 46}{space 3}0.806{col 54}{space 4}-4.196259{col 67}{space 3}   3.2607
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.4158487{col 26}{space 2} .6383893{col 37}{space 1}   -0.65{col 46}{space 3}0.515{col 54}{space 4}-1.667069{col 67}{space 3} .8353713
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.753177{col 26}{space 2} 1.216828{col 37}{space 1}    1.44{col 46}{space 3}0.150{col 54}{space 4}-.6317624{col 67}{space 3} 4.138116
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-19.87163{col 26}{space 2} .6057673{col 37}{space 1}  -32.80{col 46}{space 3}0.000{col 54}{space 4}-21.05891{col 67}{space 3}-18.68434
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.4817464{col 26}{space 2} 2.365616{col 37}{space 1}   -0.20{col 46}{space 3}0.839{col 54}{space 4}-5.118268{col 67}{space 3} 4.154775
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.3905487{col 26}{space 2}  .843835{col 37}{space 1}   -0.46{col 46}{space 3}0.643{col 54}{space 4}-2.044435{col 67}{space 3} 1.263338
{txt}state_school {c |}{col 14}{res}{space 2} -.009464{col 26}{space 2} .8052616{col 37}{space 1}   -0.01{col 46}{space 3}0.991{col 54}{space 4}-1.587748{col 67}{space 3}  1.56882
{txt}{space 9}job {c |}{col 14}{res}{space 2} .3518249{col 26}{space 2} .8339076{col 37}{space 1}    0.42{col 46}{space 3}0.673{col 54}{space 4}-1.282604{col 67}{space 3} 1.986254
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.2604565{col 26}{space 2} .0633645{col 37}{space 1}   -4.11{col 46}{space 3}0.000{col 54}{space 4}-.3846486{col 67}{space 3}-.1362644
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.5503395{col 26}{space 2} 1.242407{col 37}{space 1}   -0.44{col 46}{space 3}0.658{col 54}{space 4}-2.985413{col 67}{space 3} 1.884734
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.112212{col 26}{space 2}  1.28594{col 37}{space 1}   -0.86{col 46}{space 3}0.387{col 54}{space 4}-3.632607{col 67}{space 3} 1.408183
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.908926{col 26}{space 2}  1.17825{col 37}{space 1}   -1.62{col 46}{space 3}0.105{col 54}{space 4}-4.218254{col 67}{space 3} .4004022
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.035651{col 26}{space 2} 1.069544{col 37}{space 1}   -0.97{col 46}{space 3}0.333{col 54}{space 4}-3.131918{col 67}{space 3} 1.060616
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.7321672{col 26}{space 2} 1.843482{col 37}{space 1}   -0.40{col 46}{space 3}0.691{col 54}{space 4}-4.345325{col 67}{space 3}  2.88099
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-2.334116{col 26}{space 2} 1.176549{col 37}{space 1}   -1.98{col 46}{space 3}0.047{col 54}{space 4}-4.640109{col 67}{space 3}-.0281229
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-17.99843{col 26}{space 2} 1.158102{col 37}{space 1}  -15.54{col 46}{space 3}0.000{col 54}{space 4}-20.26827{col 67}{space 3}-15.72859
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-22.43812{col 26}{space 2} .7946515{col 37}{space 1}  -28.24{col 46}{space 3}0.000{col 54}{space 4}-23.99561{col 67}{space 3}-20.88063
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 11.77974{col 26}{space 2} 2.805703{col 37}{space 1}    4.20{col 46}{space 3}0.000{col 54}{space 4} 6.280666{col 67}{space 3} 17.27882
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_5     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.3664037{col 26}{space 2} .5658503{col 37}{space 1}   -0.65{col 46}{space 3}0.517{col 54}{space 4} -1.47545{col 67}{space 3} .7426426
{txt}state_school {c |}{col 14}{res}{space 2}-.9636189{col 26}{space 2} .5014645{col 37}{space 1}   -1.92{col 46}{space 3}0.055{col 54}{space 4}-1.946471{col 67}{space 3} .0192335
{txt}{space 9}job {c |}{col 14}{res}{space 2} 1.068042{col 26}{space 2} .5538136{col 37}{space 1}    1.93{col 46}{space 3}0.054{col 54}{space 4} -.017413{col 67}{space 3} 2.153497
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0425496{col 26}{space 2} .0388203{col 37}{space 1}   -1.10{col 46}{space 3}0.273{col 54}{space 4} -.118636{col 67}{space 3} .0335368
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.5272115{col 26}{space 2} .8032548{col 37}{space 1}   -0.66{col 46}{space 3}0.512{col 54}{space 4}-2.101562{col 67}{space 3} 1.047139
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.139339{col 26}{space 2} .8512929{col 37}{space 1}   -1.34{col 46}{space 3}0.181{col 54}{space 4}-2.807843{col 67}{space 3} .5291639
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-2.542823{col 26}{space 2} .8752021{col 37}{space 1}   -2.91{col 46}{space 3}0.004{col 54}{space 4}-4.258188{col 67}{space 3}-.8274583
{txt}{space 10}2  {c |}{col 14}{res}{space 2} -1.51279{col 26}{space 2} .6036281{col 37}{space 1}   -2.51{col 46}{space 3}0.012{col 54}{space 4}-2.695879{col 67}{space 3}-.3297002
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .6376298{col 26}{space 2} 1.339809{col 37}{space 1}    0.48{col 46}{space 3}0.634{col 54}{space 4}-1.988347{col 67}{space 3} 3.263607
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -2.33467{col 26}{space 2} .7679008{col 37}{space 1}   -3.04{col 46}{space 3}0.002{col 54}{space 4}-3.839728{col 67}{space 3}-.8296122
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 2.208878{col 26}{space 2} 1.045929{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .1588946{col 67}{space 3} 4.258862
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -21.6285{col 26}{space 2} .5583538{col 37}{space 1}  -38.74{col 46}{space 3}0.000{col 54}{space 4}-22.72285{col 67}{space 3}-20.53415
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.922747{col 26}{space 2} 2.013294{col 37}{space 1}    2.45{col 46}{space 3}0.014{col 54}{space 4} .9767639{col 67}{space 3}  8.86873
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_6     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.2634806{col 26}{space 2}  .521376{col 37}{space 1}   -0.51{col 46}{space 3}0.613{col 54}{space 4}-1.285359{col 67}{space 3} .7583976
{txt}state_school {c |}{col 14}{res}{space 2}-.1908743{col 26}{space 2} .4572758{col 37}{space 1}   -0.42{col 46}{space 3}0.676{col 54}{space 4}-1.087118{col 67}{space 3} .7053699
{txt}{space 9}job {c |}{col 14}{res}{space 2} .6104404{col 26}{space 2} .5110374{col 37}{space 1}    1.19{col 46}{space 3}0.232{col 54}{space 4}-.3911744{col 67}{space 3} 1.612055
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0425748{col 26}{space 2} .0354397{col 37}{space 1}   -1.20{col 46}{space 3}0.230{col 54}{space 4}-.1120353{col 67}{space 3} .0268857
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1200456{col 26}{space 2} .7987414{col 37}{space 1}   -0.15{col 46}{space 3}0.881{col 54}{space 4} -1.68555{col 67}{space 3} 1.445459
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.3606045{col 26}{space 2} .8264611{col 37}{space 1}   -0.44{col 46}{space 3}0.663{col 54}{space 4}-1.980439{col 67}{space 3}  1.25923
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-2.341293{col 26}{space 2} .7249192{col 37}{space 1}   -3.23{col 46}{space 3}0.001{col 54}{space 4}-3.762109{col 67}{space 3}-.9204776
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.7948566{col 26}{space 2} .5100285{col 37}{space 1}   -1.56{col 46}{space 3}0.119{col 54}{space 4}-1.794494{col 67}{space 3} .2047809
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .0297775{col 26}{space 2} 1.311828{col 37}{space 1}    0.02{col 46}{space 3}0.982{col 54}{space 4}-2.541359{col 67}{space 3} 2.600914
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.3176023{col 26}{space 2} .5086041{col 37}{space 1}   -0.62{col 46}{space 3}0.532{col 54}{space 4}-1.314448{col 67}{space 3} .6792435
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-17.89873{col 26}{space 2} .9932892{col 37}{space 1}  -18.02{col 46}{space 3}0.000{col 54}{space 4}-19.84555{col 67}{space 3}-15.95192
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-21.93745{col 26}{space 2} .4575466{col 37}{space 1}  -47.95{col 46}{space 3}0.000{col 54}{space 4}-22.83423{col 67}{space 3}-21.04068
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}  4.72347{col 26}{space 2} 1.837028{col 37}{space 1}    2.57{col 46}{space 3}0.010{col 54}{space 4} 1.122961{col 67}{space 3}  8.32398
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_7     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} .3165207{col 26}{space 2} .6512725{col 37}{space 1}    0.49{col 46}{space 3}0.627{col 54}{space 4}-.9599499{col 67}{space 3} 1.592991
{txt}state_school {c |}{col 14}{res}{space 2}-.9672803{col 26}{space 2} .5556978{col 37}{space 1}   -1.74{col 46}{space 3}0.082{col 54}{space 4}-2.056428{col 67}{space 3} .1218674
{txt}{space 9}job {c |}{col 14}{res}{space 2} .3806647{col 26}{space 2}  .648036{col 37}{space 1}    0.59{col 46}{space 3}0.557{col 54}{space 4}-.8894625{col 67}{space 3} 1.650792
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0979942{col 26}{space 2} .0406655{col 37}{space 1}   -2.41{col 46}{space 3}0.016{col 54}{space 4}-.1776972{col 67}{space 3}-.0182912
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .8502602{col 26}{space 2} 1.204628{col 37}{space 1}    0.71{col 46}{space 3}0.480{col 54}{space 4}-1.510767{col 67}{space 3} 3.211287
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .6625579{col 26}{space 2} 1.272434{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-1.831367{col 67}{space 3} 3.156482
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .8180584{col 26}{space 2} .8157347{col 37}{space 1}    1.00{col 46}{space 3}0.316{col 54}{space 4}-.7807522{col 67}{space 3} 2.416869
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2655578{col 26}{space 2} .7456415{col 37}{space 1}   -0.36{col 46}{space 3}0.722{col 54}{space 4}-1.726988{col 67}{space 3} 1.195873
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}  .279645{col 26}{space 2} 1.706078{col 37}{space 1}    0.16{col 46}{space 3}0.870{col 54}{space 4}-3.064206{col 67}{space 3} 3.623496
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1794334{col 26}{space 2}  .695849{col 37}{space 1}   -0.26{col 46}{space 3}0.797{col 54}{space 4}-1.543272{col 67}{space 3} 1.184406
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 2.759609{col 26}{space 2} 1.143434{col 37}{space 1}    2.41{col 46}{space 3}0.016{col 54}{space 4} .5185192{col 67}{space 3}   5.0007
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-4.873027{col 26}{space 2} 1.125059{col 37}{space 1}   -4.33{col 46}{space 3}0.000{col 54}{space 4}-7.078101{col 67}{space 3}-2.667952
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.697001{col 26}{space 2} 2.327775{col 37}{space 1}    1.59{col 46}{space 3}0.112{col 54}{space 4}-.8653533{col 67}{space 3} 8.259355
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_8     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.6676039{col 26}{space 2}  .610417{col 37}{space 1}   -1.09{col 46}{space 3}0.274{col 54}{space 4}-1.863999{col 67}{space 3} .5287915
{txt}state_school {c |}{col 14}{res}{space 2}-.5829409{col 26}{space 2} .5324434{col 37}{space 1}   -1.09{col 46}{space 3}0.274{col 54}{space 4}-1.626511{col 67}{space 3} .4606291
{txt}{space 9}job {c |}{col 14}{res}{space 2} .8415364{col 26}{space 2} .5996514{col 37}{space 1}    1.40{col 46}{space 3}0.161{col 54}{space 4}-.3337587{col 67}{space 3} 2.016832
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0952709{col 26}{space 2} .0381191{col 37}{space 1}   -2.50{col 46}{space 3}0.012{col 54}{space 4} -.169983{col 67}{space 3}-.0205588
{txt}{space 12} {c |}
{space 9}uni {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.6797048{col 26}{space 2}  .851586{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-2.348783{col 67}{space 3} .9893732
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.7934744{col 26}{space 2}  .885057{col 37}{space 1}   -0.90{col 46}{space 3}0.370{col 54}{space 4}-2.528154{col 67}{space 3} .9412054
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-2.225082{col 26}{space 2} .8954972{col 37}{space 1}   -2.48{col 46}{space 3}0.013{col 54}{space 4}-3.980224{col 67}{space 3}-.4699393
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0088404{col 26}{space 2} .5907081{col 37}{space 1}    0.01{col 46}{space 3}0.988{col 54}{space 4}-1.148926{col 67}{space 3} 1.166607
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-17.84601{col 26}{space 2} 1.304124{col 37}{space 1}  -13.68{col 46}{space 3}0.000{col 54}{space 4}-20.40205{col 67}{space 3}-15.28997
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-19.78874{col 26}{space 2} .5358616{col 37}{space 1}  -36.93{col 46}{space 3}0.000{col 54}{space 4}-20.83901{col 67}{space 3}-18.73847
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-18.82364{col 26}{space 2} 1.016205{col 37}{space 1}  -18.52{col 46}{space 3}0.000{col 54}{space 4}-20.81537{col 67}{space 3}-16.83192
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-23.01882{col 26}{space 2}  .606532{col 37}{space 1}  -37.95{col 46}{space 3}0.000{col 54}{space 4} -24.2076{col 67}{space 3}-21.83004
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 7.014197{col 26}{space 2} 1.987538{col 37}{space 1}    3.53{col 46}{space 3}0.000{col 54}{space 4} 3.118694{col 67}{space 3}  10.9097
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_clust8.tex"'"':MPCareer_clust8.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_clust8.txt", label"':seeout}

{com}. 
. ***************************************************************************
. **Analysis - Oxbridge******************************************************
. ***************************************************************************
. use MPCareer_uni.dta
{txt}(Written by R.              )

{com}. 
. foreach y in  clust5 clust4 clust3 clust6 clust7 clust8 {c -(}
{txt}  2{com}. 
. 
. 
. mlogit  `y'  gender state_school job age_at_entry Oxbridge , vce(robust) base(1)
{txt}  3{com}. outreg2 using MPCareer_ox_`y',label replace ctitle (Multinomial Analysis) tex(frag)
{txt}  4{com}. mlogit  `y'  gender state_school job age_at_entry Oxbridge i.party_n byelections , vce(robust) base(1)
{txt}  5{com}. outreg2 using MPCareer_ox_`y',label append ctitle (Multinomial Analysis) tex(frag)
{txt}  6{com}. mlogit  `y'  gender state_school job age_at_entry Oxbridge i.party_n byelections i.legislature  , vce(robust) base(1)
{txt}  7{com}. outreg2 using MPCareer_ox_`y',label append ctitle (Multinomial Analysis) tex(frag)
{txt}  8{com}. 
. {c )-}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-927.78886}  
Iteration 1:{space 3}log pseudolikelihood = {res: -907.6049}  
Iteration 2:{space 3}log pseudolikelihood = {res:-906.72084}  
Iteration 3:{space 3}log pseudolikelihood = {res: -906.7172}  
Iteration 4:{space 3}log pseudolikelihood = {res: -906.7172}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       613
{txt}{col 49}Wald chi2({res}20{txt}){col 67}= {res}     41.95
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0028
{txt}Log pseudolikelihood = {res} -906.7172{txt}{col 49}Pseudo R2{col 67}= {res}    0.0227

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust5{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.2309697{col 26}{space 2} .2502304{col 37}{space 1}   -0.92{col 46}{space 3}0.356{col 54}{space 4}-.7214122{col 67}{space 3} .2594728
{txt}state_school {c |}{col 14}{res}{space 2} .0051391{col 26}{space 2} .2496529{col 37}{space 1}    0.02{col 46}{space 3}0.984{col 54}{space 4}-.4841716{col 67}{space 3} .4944498
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.0366171{col 26}{space 2} .2450848{col 37}{space 1}   -0.15{col 46}{space 3}0.881{col 54}{space 4}-.5169745{col 67}{space 3} .4437403
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0111919{col 26}{space 2} .0147715{col 37}{space 1}    0.76{col 46}{space 3}0.449{col 54}{space 4}-.0177597{col 67}{space 3} .0401435
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.1224643{col 26}{space 2} .2702181{col 37}{space 1}   -0.45{col 46}{space 3}0.650{col 54}{space 4} -.652082{col 67}{space 3} .4071535
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.7396792{col 26}{space 2} .7036618{col 37}{space 1}   -1.05{col 46}{space 3}0.293{col 54}{space 4}-2.118831{col 67}{space 3} .6394726
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.1324863{col 26}{space 2} .3054006{col 37}{space 1}   -0.43{col 46}{space 3}0.664{col 54}{space 4}-.7310605{col 67}{space 3}  .466088
{txt}state_school {c |}{col 14}{res}{space 2} .1758814{col 26}{space 2} .2914383{col 37}{space 1}    0.60{col 46}{space 3}0.546{col 54}{space 4}-.3953271{col 67}{space 3} .7470899
{txt}{space 9}job {c |}{col 14}{res}{space 2}  -.05181{col 26}{space 2} .2841174{col 37}{space 1}   -0.18{col 46}{space 3}0.855{col 54}{space 4}  -.60867{col 67}{space 3}   .50505
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0345899{col 26}{space 2} .0194432{col 37}{space 1}   -1.78{col 46}{space 3}0.075{col 54}{space 4}-.0726979{col 67}{space 3} .0035181
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}  .685123{col 26}{space 2} .2871195{col 37}{space 1}    2.39{col 46}{space 3}0.017{col 54}{space 4}  .122379{col 67}{space 3} 1.247867
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1972821{col 26}{space 2} .8631901{col 37}{space 1}    0.23{col 46}{space 3}0.819{col 54}{space 4}-1.494539{col 67}{space 3} 1.889104
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.4491655{col 26}{space 2} .2529582{col 37}{space 1}   -1.78{col 46}{space 3}0.076{col 54}{space 4}-.9449544{col 67}{space 3} .0466234
{txt}state_school {c |}{col 14}{res}{space 2} .2673681{col 26}{space 2} .2453193{col 37}{space 1}    1.09{col 46}{space 3}0.276{col 54}{space 4}-.2134489{col 67}{space 3} .7481851
{txt}{space 9}job {c |}{col 14}{res}{space 2} .0058937{col 26}{space 2} .2429617{col 37}{space 1}    0.02{col 46}{space 3}0.981{col 54}{space 4}-.4703025{col 67}{space 3} .4820899
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0180285{col 26}{space 2} .0138157{col 37}{space 1}    1.30{col 46}{space 3}0.192{col 54}{space 4}-.0090498{col 67}{space 3} .0451068
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.3464426{col 26}{space 2} .2726534{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.8808334{col 67}{space 3} .1879482
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.082588{col 26}{space 2} .6551752{col 37}{space 1}   -1.65{col 46}{space 3}0.098{col 54}{space 4}-2.366708{col 67}{space 3} .2015321
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_5     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.3396289{col 26}{space 2} .3796407{col 37}{space 1}   -0.89{col 46}{space 3}0.371{col 54}{space 4}-1.083711{col 67}{space 3} .4044531
{txt}state_school {c |}{col 14}{res}{space 2}-.4440881{col 26}{space 2} .3531389{col 37}{space 1}   -1.26{col 46}{space 3}0.209{col 54}{space 4}-1.136228{col 67}{space 3} .2480513
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1663856{col 26}{space 2}  .362988{col 37}{space 1}   -0.46{col 46}{space 3}0.647{col 54}{space 4}-.8778291{col 67}{space 3} .5450578
{txt}age_at_entry {c |}{col 14}{res}{space 2} -.009381{col 26}{space 2} .0180061{col 37}{space 1}   -0.52{col 46}{space 3}0.602{col 54}{space 4}-.0446723{col 67}{space 3} .0259103
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-1.422435{col 26}{space 2}  .490527{col 37}{space 1}   -2.90{col 46}{space 3}0.004{col 54}{space 4} -2.38385{col 67}{space 3}-.4610198
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.2889686{col 26}{space 2} .8180202{col 37}{space 1}   -0.35{col 46}{space 3}0.724{col 54}{space 4}-1.892259{col 67}{space 3} 1.314322
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_ox_clust5.tex"'"':MPCareer_ox_clust5.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_ox_clust5.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-927.78886}  
Iteration 1:{space 3}log pseudolikelihood = {res:-836.41469}  
Iteration 2:{space 3}log pseudolikelihood = {res:-814.50526}  
Iteration 3:{space 3}log pseudolikelihood = {res:-812.76721}  
Iteration 4:{space 3}log pseudolikelihood = {res:-812.55813}  
Iteration 5:{space 3}log pseudolikelihood = {res:-812.51873}  
Iteration 6:{space 3}log pseudolikelihood = {res:-812.50972}  
Iteration 7:{space 3}log pseudolikelihood = {res:-812.50772}  
Iteration 8:{space 3}log pseudolikelihood = {res:-812.50722}  
Iteration 9:{space 3}log pseudolikelihood = {res:-812.50713}  
Iteration 10:{space 2}log pseudolikelihood = {res:-812.50711}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       613
{txt}{col 49}Wald chi2({res}32{txt}){col 67}= {res}   3064.98
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-812.50711{txt}{col 49}Pseudo R2{col 67}= {res}    0.1243

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust5{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.5477548{col 26}{space 2} .2647672{col 37}{space 1}   -2.07{col 46}{space 3}0.039{col 54}{space 4}-1.066689{col 67}{space 3}-.0288207
{txt}state_school {c |}{col 14}{res}{space 2}-.3991691{col 26}{space 2} .2711984{col 37}{space 1}   -1.47{col 46}{space 3}0.141{col 54}{space 4}-.9307081{col 67}{space 3}   .13237
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1520921{col 26}{space 2} .2508344{col 37}{space 1}   -0.61{col 46}{space 3}0.544{col 54}{space 4}-.6437184{col 67}{space 3} .3395342
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0096171{col 26}{space 2} .0157604{col 37}{space 1}    0.61{col 46}{space 3}0.542{col 54}{space 4}-.0212728{col 67}{space 3}  .040507
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.0281562{col 26}{space 2} .2765775{col 37}{space 1}   -0.10{col 46}{space 3}0.919{col 54}{space 4}-.5702382{col 67}{space 3} .5139258
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.3181346{col 26}{space 2} .4871432{col 37}{space 1}   -0.65{col 46}{space 3}0.514{col 54}{space 4}-1.272918{col 67}{space 3} .6366486
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.414927{col 26}{space 2} .2755665{col 37}{space 1}   -5.13{col 46}{space 3}0.000{col 54}{space 4}-1.955028{col 67}{space 3} -.874827
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.0755171{col 26}{space 2} .6201677{col 37}{space 1}   -0.12{col 46}{space 3}0.903{col 54}{space 4}-1.291023{col 67}{space 3} 1.139989
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .3858689{col 26}{space 2} .7638516{col 37}{space 1}    0.51{col 46}{space 3}0.613{col 54}{space 4}-1.111253{col 67}{space 3} 1.882991
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} .0629963{col 26}{space 2} .3619543{col 37}{space 1}    0.17{col 46}{space 3}0.862{col 54}{space 4} -.646421{col 67}{space 3} .7724137
{txt}state_school {c |}{col 14}{res}{space 2}-.1021495{col 26}{space 2} .3477976{col 37}{space 1}   -0.29{col 46}{space 3}0.769{col 54}{space 4}-.7838204{col 67}{space 3} .5795213
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1913228{col 26}{space 2}  .341267{col 37}{space 1}   -0.56{col 46}{space 3}0.575{col 54}{space 4}-.8601938{col 67}{space 3} .4775482
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0421125{col 26}{space 2} .0196138{col 37}{space 1}   -2.15{col 46}{space 3}0.032{col 54}{space 4}-.0805547{col 67}{space 3}-.0036702
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} 1.012086{col 26}{space 2} .3483716{col 37}{space 1}    2.91{col 46}{space 3}0.004{col 54}{space 4} .3292906{col 67}{space 3} 1.694882
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 2.710046{col 26}{space 2} .4702458{col 37}{space 1}    5.76{col 46}{space 3}0.000{col 54}{space 4} 1.788382{col 67}{space 3} 3.631711
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.8333712{col 26}{space 2} .4007107{col 37}{space 1}   -2.08{col 46}{space 3}0.038{col 54}{space 4} -1.61875{col 67}{space 3}-.0479926
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .7056099{col 26}{space 2} .6838613{col 37}{space 1}    1.03{col 46}{space 3}0.302{col 54}{space 4}-.6347337{col 67}{space 3} 2.045953
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2655169{col 26}{space 2}  .967308{col 37}{space 1}    0.27{col 46}{space 3}0.784{col 54}{space 4}-1.630372{col 67}{space 3} 2.161406
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.9450886{col 26}{space 2} .2745661{col 37}{space 1}   -3.44{col 46}{space 3}0.001{col 54}{space 4}-1.483228{col 67}{space 3} -.406949
{txt}state_school {c |}{col 14}{res}{space 2}-.3244403{col 26}{space 2} .2681402{col 37}{space 1}   -1.21{col 46}{space 3}0.226{col 54}{space 4}-.8499855{col 67}{space 3} .2011049
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1656177{col 26}{space 2} .2648435{col 37}{space 1}   -0.63{col 46}{space 3}0.532{col 54}{space 4}-.6847014{col 67}{space 3} .3534661
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0167425{col 26}{space 2} .0155523{col 37}{space 1}    1.08{col 46}{space 3}0.282{col 54}{space 4}-.0137396{col 67}{space 3} .0472245
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.2440252{col 26}{space 2} .2978822{col 37}{space 1}   -0.82{col 46}{space 3}0.413{col 54}{space 4}-.8278635{col 67}{space 3} .3398131
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.705149{col 26}{space 2} .6303838{col 37}{space 1}   -2.70{col 46}{space 3}0.007{col 54}{space 4}-2.940678{col 67}{space 3}-.4696189
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-2.048633{col 26}{space 2} .2829344{col 37}{space 1}   -7.24{col 46}{space 3}0.000{col 54}{space 4}-2.603175{col 67}{space 3}-1.494092
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.4940515{col 26}{space 2} .6483418{col 37}{space 1}   -0.76{col 46}{space 3}0.446{col 54}{space 4}-1.764778{col 67}{space 3} .7766752
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .4947701{col 26}{space 2} .7803693{col 37}{space 1}    0.63{col 46}{space 3}0.526{col 54}{space 4}-1.034726{col 67}{space 3} 2.024266
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_5     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.8671473{col 26}{space 2} .3988841{col 37}{space 1}   -2.17{col 46}{space 3}0.030{col 54}{space 4}-1.648946{col 67}{space 3}-.0853488
{txt}state_school {c |}{col 14}{res}{space 2}-.9330901{col 26}{space 2}  .399084{col 37}{space 1}   -2.34{col 46}{space 3}0.019{col 54}{space 4} -1.71528{col 67}{space 3}-.1508997
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.3407377{col 26}{space 2} .3667861{col 37}{space 1}   -0.93{col 46}{space 3}0.353{col 54}{space 4}-1.059625{col 67}{space 3} .3781498
{txt}age_at_entry {c |}{col 14}{res}{space 2} -.012635{col 26}{space 2} .0197118{col 37}{space 1}   -0.64{col 46}{space 3}0.522{col 54}{space 4}-.0512694{col 67}{space 3} .0259995
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-1.371369{col 26}{space 2} .5107434{col 37}{space 1}   -2.69{col 46}{space 3}0.007{col 54}{space 4}-2.372408{col 67}{space 3}-.3703304
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-2.005863{col 26}{space 2} 1.061366{col 37}{space 1}   -1.89{col 46}{space 3}0.059{col 54}{space 4}-4.086102{col 67}{space 3} .0743765
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.786761{col 26}{space 2} .3933288{col 37}{space 1}   -4.54{col 46}{space 3}0.000{col 54}{space 4}-2.557671{col 67}{space 3}-1.015851
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-14.57991{col 26}{space 2} .5202386{col 37}{space 1}  -28.03{col 46}{space 3}0.000{col 54}{space 4}-15.59956{col 67}{space 3}-13.56026
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  1.30739{col 26}{space 2}  .939712{col 37}{space 1}    1.39{col 46}{space 3}0.164{col 54}{space 4}-.5344113{col 67}{space 3} 3.149192
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_ox_clust5.tex"'"':MPCareer_ox_clust5.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_ox_clust5.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-927.78886}  
Iteration 1:{space 3}log pseudolikelihood = {res: -487.6345}  
Iteration 2:{space 3}log pseudolikelihood = {res:-448.85019}  
Iteration 3:{space 3}log pseudolikelihood = {res:-430.93532}  
Iteration 4:{space 3}log pseudolikelihood = {res:-429.07709}  
Iteration 5:{space 3}log pseudolikelihood = {res:-428.61549}  
Iteration 6:{space 3}log pseudolikelihood = {res:-428.52515}  
Iteration 7:{space 3}log pseudolikelihood = {res:-428.50535}  
Iteration 8:{space 3}log pseudolikelihood = {res:-428.50082}  
Iteration 9:{space 3}log pseudolikelihood = {res:-428.49974}  
Iteration 10:{space 2}log pseudolikelihood = {res:-428.49952}  
Iteration 11:{space 2}log pseudolikelihood = {res:-428.49948}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       613
{txt}{col 49}Wald chi2({res}44{txt}){col 67}= {res}  39348.66
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-428.49948{txt}{col 49}Pseudo R2{col 67}= {res}    0.5381

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust5{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.2187168{col 26}{space 2} .5791497{col 37}{space 1}   -0.38{col 46}{space 3}0.706{col 54}{space 4}-1.353829{col 67}{space 3} .9163957
{txt}state_school {c |}{col 14}{res}{space 2}-1.236569{col 26}{space 2} .5205981{col 37}{space 1}   -2.38{col 46}{space 3}0.018{col 54}{space 4}-2.256922{col 67}{space 3}-.2162156
{txt}{space 9}job {c |}{col 14}{res}{space 2} .5883852{col 26}{space 2} .5708583{col 37}{space 1}    1.03{col 46}{space 3}0.303{col 54}{space 4}-.5304765{col 67}{space 3} 1.707247
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0348071{col 26}{space 2}   .03818{col 37}{space 1}   -0.91{col 46}{space 3}0.362{col 54}{space 4}-.1096385{col 67}{space 3} .0400244
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-1.248525{col 26}{space 2} .5176949{col 37}{space 1}   -2.41{col 46}{space 3}0.016{col 54}{space 4}-2.263189{col 67}{space 3} -.233862
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.638752{col 26}{space 2} .8127768{col 37}{space 1}   -2.02{col 46}{space 3}0.044{col 54}{space 4}-3.231766{col 67}{space 3}-.0457391
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.050621{col 26}{space 2} .6021352{col 37}{space 1}   -1.74{col 46}{space 3}0.081{col 54}{space 4}-2.230785{col 67}{space 3} .1295421
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.2591562{col 26}{space 2}  1.48231{col 37}{space 1}   -0.17{col 46}{space 3}0.861{col 54}{space 4} -3.16443{col 67}{space 3} 2.646117
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.2805456{col 26}{space 2} .6073059{col 37}{space 1}   -0.46{col 46}{space 3}0.644{col 54}{space 4}-1.470843{col 67}{space 3} .9097521
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 3.520601{col 26}{space 2} 1.030135{col 37}{space 1}    3.42{col 46}{space 3}0.001{col 54}{space 4} 1.501575{col 67}{space 3} 5.539628
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-20.32059{col 26}{space 2} .5820495{col 37}{space 1}  -34.91{col 46}{space 3}0.000{col 54}{space 4}-21.46138{col 67}{space 3}-19.17979
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.363213{col 26}{space 2} 1.920065{col 37}{space 1}    2.27{col 46}{space 3}0.023{col 54}{space 4} .5999542{col 67}{space 3} 8.126472
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} .5849314{col 26}{space 2} .5745231{col 37}{space 1}    1.02{col 46}{space 3}0.309{col 54}{space 4}-.5411133{col 67}{space 3} 1.710976
{txt}state_school {c |}{col 14}{res}{space 2}-.7840886{col 26}{space 2} .5334965{col 37}{space 1}   -1.47{col 46}{space 3}0.142{col 54}{space 4}-1.829723{col 67}{space 3} .2615453
{txt}{space 9}job {c |}{col 14}{res}{space 2} .3362314{col 26}{space 2} .5899687{col 37}{space 1}    0.57{col 46}{space 3}0.569{col 54}{space 4}-.8200859{col 67}{space 3} 1.492549
{txt}age_at_entry {c |}{col 14}{res}{space 2} -.106291{col 26}{space 2} .0395191{col 37}{space 1}   -2.69{col 46}{space 3}0.007{col 54}{space 4}-.1837471{col 67}{space 3} -.028835
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.0475726{col 26}{space 2} .5029019{col 37}{space 1}   -0.09{col 46}{space 3}0.925{col 54}{space 4}-1.033242{col 67}{space 3} .9380969
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.838522{col 26}{space 2} .7569956{col 37}{space 1}    2.43{col 46}{space 3}0.015{col 54}{space 4} .3548376{col 67}{space 3} 3.322206
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0290606{col 26}{space 2} .6211501{col 37}{space 1}   -0.05{col 46}{space 3}0.963{col 54}{space 4}-1.246492{col 67}{space 3} 1.188371
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .5970054{col 26}{space 2} 1.627201{col 37}{space 1}    0.37{col 46}{space 3}0.714{col 54}{space 4} -2.59225{col 67}{space 3} 3.786261
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.2786499{col 26}{space 2} .6041713{col 37}{space 1}   -0.46{col 46}{space 3}0.645{col 54}{space 4}-1.462804{col 67}{space 3} .9055042
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.805495{col 26}{space 2} 1.114705{col 37}{space 1}    1.62{col 46}{space 3}0.105{col 54}{space 4}-.3792865{col 67}{space 3} 3.990277
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-5.841526{col 26}{space 2} 1.066005{col 37}{space 1}   -5.48{col 46}{space 3}0.000{col 54}{space 4}-7.930857{col 67}{space 3}-3.752195
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 5.410078{col 26}{space 2}  1.96909{col 37}{space 1}    2.75{col 46}{space 3}0.006{col 54}{space 4} 1.550733{col 67}{space 3} 9.269423
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.1421978{col 26}{space 2} .5617164{col 37}{space 1}   -0.25{col 46}{space 3}0.800{col 54}{space 4}-1.243142{col 67}{space 3}  .958746
{txt}state_school {c |}{col 14}{res}{space 2}-.9077668{col 26}{space 2} .4897686{col 37}{space 1}   -1.85{col 46}{space 3}0.064{col 54}{space 4}-1.867696{col 67}{space 3} .0521621
{txt}{space 9}job {c |}{col 14}{res}{space 2}  .555042{col 26}{space 2} .5383643{col 37}{space 1}    1.03{col 46}{space 3}0.303{col 54}{space 4}-.5001327{col 67}{space 3} 1.610217
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0485015{col 26}{space 2} .0364079{col 37}{space 1}   -1.33{col 46}{space 3}0.183{col 54}{space 4}-.1198597{col 67}{space 3} .0228566
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-1.746317{col 26}{space 2} .5045298{col 37}{space 1}   -3.46{col 46}{space 3}0.001{col 54}{space 4}-2.735177{col 67}{space 3}-.7574569
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -2.38678{col 26}{space 2} .8526346{col 37}{space 1}   -2.80{col 46}{space 3}0.005{col 54}{space 4}-4.057913{col 67}{space 3} -.715647
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.4425892{col 26}{space 2} .5596082{col 37}{space 1}   -0.79{col 46}{space 3}0.429{col 54}{space 4}-1.539401{col 67}{space 3} .6542227
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.3141973{col 26}{space 2} 1.460296{col 37}{space 1}   -0.22{col 46}{space 3}0.830{col 54}{space 4}-3.176325{col 67}{space 3}  2.54793
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -.074144{col 26}{space 2} .5630313{col 37}{space 1}   -0.13{col 46}{space 3}0.895{col 54}{space 4}-1.177665{col 67}{space 3} 1.029377
{txt}{space 10}2  {c |}{col 14}{res}{space 2} -16.4859{col 26}{space 2} 1.018893{col 37}{space 1}  -16.18{col 46}{space 3}0.000{col 54}{space 4}-18.48289{col 67}{space 3} -14.4889
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-21.50177{col 26}{space 2} .5936554{col 37}{space 1}  -36.22{col 46}{space 3}0.000{col 54}{space 4}-22.66531{col 67}{space 3}-20.33823
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 5.642912{col 26}{space 2} 1.822437{col 37}{space 1}    3.10{col 46}{space 3}0.002{col 54}{space 4}    2.071{col 67}{space 3} 9.214823
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_5     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.4554173{col 26}{space 2} .6661019{col 37}{space 1}   -0.68{col 46}{space 3}0.494{col 54}{space 4}-1.760953{col 67}{space 3} .8501185
{txt}state_school {c |}{col 14}{res}{space 2}-1.809827{col 26}{space 2} .6265993{col 37}{space 1}   -2.89{col 46}{space 3}0.004{col 54}{space 4}-3.037939{col 67}{space 3} -.581715
{txt}{space 9}job {c |}{col 14}{res}{space 2} .3523607{col 26}{space 2} .6522623{col 37}{space 1}    0.54{col 46}{space 3}0.589{col 54}{space 4}-.9260499{col 67}{space 3} 1.630771
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.1081933{col 26}{space 2} .0412494{col 37}{space 1}   -2.62{col 46}{space 3}0.009{col 54}{space 4}-.1890408{col 67}{space 3}-.0273459
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-3.393787{col 26}{space 2} .7163971{col 37}{space 1}   -4.74{col 46}{space 3}0.000{col 54}{space 4}-4.797899{col 67}{space 3}-1.989675
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -2.63647{col 26}{space 2}  1.16849{col 37}{space 1}   -2.26{col 46}{space 3}0.024{col 54}{space 4}-4.926668{col 67}{space 3}-.3462711
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .5689762{col 26}{space 2}  .664453{col 37}{space 1}    0.86{col 46}{space 3}0.392{col 54}{space 4}-.7333277{col 67}{space 3}  1.87128
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-16.28511{col 26}{space 2} 1.459317{col 37}{space 1}  -11.16{col 46}{space 3}0.000{col 54}{space 4}-19.14532{col 67}{space 3} -13.4249
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-18.88464{col 26}{space 2} .6558775{col 37}{space 1}  -28.79{col 46}{space 3}0.000{col 54}{space 4}-20.17014{col 67}{space 3}-17.59914
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-17.48219{col 26}{space 2} 1.096103{col 37}{space 1}  -15.95{col 46}{space 3}0.000{col 54}{space 4}-19.63052{col 67}{space 3}-15.33387
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-22.91871{col 26}{space 2} .8274491{col 37}{space 1}  -27.70{col 46}{space 3}0.000{col 54}{space 4}-24.54048{col 67}{space 3}-21.29694
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 8.395224{col 26}{space 2} 2.088991{col 37}{space 1}    4.02{col 46}{space 3}0.000{col 54}{space 4} 4.300877{col 67}{space 3} 12.48957
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_ox_clust5.tex"'"':MPCareer_ox_clust5.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_ox_clust5.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-816.34021}  
Iteration 1:{space 3}log pseudolikelihood = {res:-800.15884}  
Iteration 2:{space 3}log pseudolikelihood = {res:-799.58353}  
Iteration 3:{space 3}log pseudolikelihood = {res:-799.58274}  
Iteration 4:{space 3}log pseudolikelihood = {res:-799.58274}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       613
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}     32.78
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0050
{txt}Log pseudolikelihood = {res}-799.58274{txt}{col 49}Pseudo R2{col 67}= {res}    0.0205

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust4{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.2309291{col 26}{space 2} .2501855{col 37}{space 1}   -0.92{col 46}{space 3}0.356{col 54}{space 4}-.7212836{col 67}{space 3} .2594254
{txt}state_school {c |}{col 14}{res}{space 2} .0053779{col 26}{space 2} .2484649{col 37}{space 1}    0.02{col 46}{space 3}0.983{col 54}{space 4}-.4816043{col 67}{space 3}   .49236
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.0368721{col 26}{space 2} .2449318{col 37}{space 1}   -0.15{col 46}{space 3}0.880{col 54}{space 4}-.5169296{col 67}{space 3} .4431854
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0111773{col 26}{space 2} .0147198{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0176729{col 67}{space 3} .0400276
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.1226401{col 26}{space 2}  .268716{col 37}{space 1}   -0.46{col 46}{space 3}0.648{col 54}{space 4}-.6493139{col 67}{space 3} .4040336
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.7390753{col 26}{space 2} .6993843{col 37}{space 1}   -1.06{col 46}{space 3}0.291{col 54}{space 4}-2.109843{col 67}{space 3} .6316928
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.1321824{col 26}{space 2}   .30541{col 37}{space 1}   -0.43{col 46}{space 3}0.665{col 54}{space 4}-.7307749{col 67}{space 3} .4664101
{txt}state_school {c |}{col 14}{res}{space 2} .1721331{col 26}{space 2} .2900401{col 37}{space 1}    0.59{col 46}{space 3}0.553{col 54}{space 4}-.3963349{col 67}{space 3} .7406012
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.0519049{col 26}{space 2} .2840827{col 37}{space 1}   -0.18{col 46}{space 3}0.855{col 54}{space 4}-.6086967{col 67}{space 3} .5048869
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0346288{col 26}{space 2}  .019389{col 37}{space 1}   -1.79{col 46}{space 3}0.074{col 54}{space 4}-.0726305{col 67}{space 3}  .003373
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} .6837652{col 26}{space 2} .2855306{col 37}{space 1}    2.39{col 46}{space 3}0.017{col 54}{space 4} .1241355{col 67}{space 3} 1.243395
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .201513{col 26}{space 2} .8586004{col 37}{space 1}    0.23{col 46}{space 3}0.814{col 54}{space 4}-1.481313{col 67}{space 3} 1.884339
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.4213339{col 26}{space 2} .2330271{col 37}{space 1}   -1.81{col 46}{space 3}0.071{col 54}{space 4}-.8780587{col 67}{space 3} .0353909
{txt}state_school {c |}{col 14}{res}{space 2} .0643782{col 26}{space 2} .2269243{col 37}{space 1}    0.28{col 46}{space 3}0.777{col 54}{space 4}-.3803853{col 67}{space 3} .5091417
{txt}{space 9}job {c |}{col 14}{res}{space 2} -.040669{col 26}{space 2} .2251814{col 37}{space 1}   -0.18{col 46}{space 3}0.857{col 54}{space 4}-.4820164{col 67}{space 3} .4006785
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0106599{col 26}{space 2} .0128023{col 37}{space 1}    0.83{col 46}{space 3}0.405{col 54}{space 4}-.0144321{col 67}{space 3}  .035752
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.6105154{col 26}{space 2} .2561355{col 37}{space 1}   -2.38{col 46}{space 3}0.017{col 54}{space 4}-1.112532{col 67}{space 3} -.108499
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.2610587{col 26}{space 2} .5962031{col 37}{space 1}   -0.44{col 46}{space 3}0.661{col 54}{space 4}-1.429595{col 67}{space 3}  .907478
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_ox_clust4.tex"'"':MPCareer_ox_clust4.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_ox_clust4.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-816.34021}  
Iteration 1:{space 3}log pseudolikelihood = {res:-730.66222}  
Iteration 2:{space 3}log pseudolikelihood = {res:-709.35233}  
Iteration 3:{space 3}log pseudolikelihood = {res:-708.06374}  
Iteration 4:{space 3}log pseudolikelihood = {res:-708.03743}  
Iteration 5:{space 3}log pseudolikelihood = {res: -708.0374}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       613
{txt}{col 49}Wald chi2({res}24{txt}){col 67}= {res}    170.16
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -708.0374{txt}{col 49}Pseudo R2{col 67}= {res}    0.1327

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust4{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.5474956{col 26}{space 2} .2646747{col 37}{space 1}   -2.07{col 46}{space 3}0.039{col 54}{space 4}-1.066249{col 67}{space 3}-.0287427
{txt}state_school {c |}{col 14}{res}{space 2}-.4033281{col 26}{space 2} .2708421{col 37}{space 1}   -1.49{col 46}{space 3}0.136{col 54}{space 4}-.9341689{col 67}{space 3} .1275127
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1539927{col 26}{space 2} .2506618{col 37}{space 1}   -0.61{col 46}{space 3}0.539{col 54}{space 4}-.6452808{col 67}{space 3} .3372954
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0094115{col 26}{space 2} .0156912{col 37}{space 1}    0.60{col 46}{space 3}0.549{col 54}{space 4}-.0213428{col 67}{space 3} .0401657
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.0332889{col 26}{space 2}  .274936{col 37}{space 1}   -0.12{col 46}{space 3}0.904{col 54}{space 4}-.5721535{col 67}{space 3} .5055758
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.3183336{col 26}{space 2} .4870939{col 37}{space 1}   -0.65{col 46}{space 3}0.513{col 54}{space 4} -1.27302{col 67}{space 3} .6363529
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.416314{col 26}{space 2} .2756952{col 37}{space 1}   -5.14{col 46}{space 3}0.000{col 54}{space 4}-1.956666{col 67}{space 3} -.875961
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.0716971{col 26}{space 2} .6202347{col 37}{space 1}   -0.12{col 46}{space 3}0.908{col 54}{space 4}-1.287335{col 67}{space 3} 1.143941
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .399644{col 26}{space 2} .7598567{col 37}{space 1}    0.53{col 46}{space 3}0.599{col 54}{space 4}-1.089648{col 67}{space 3} 1.888936
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}  .062828{col 26}{space 2} .3620435{col 37}{space 1}    0.17{col 46}{space 3}0.862{col 54}{space 4}-.6467643{col 67}{space 3} .7724203
{txt}state_school {c |}{col 14}{res}{space 2}-.1111543{col 26}{space 2} .3480756{col 37}{space 1}   -0.32{col 46}{space 3}0.749{col 54}{space 4}  -.79337{col 67}{space 3} .5710614
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1930663{col 26}{space 2} .3411562{col 37}{space 1}   -0.57{col 46}{space 3}0.571{col 54}{space 4}-.8617202{col 67}{space 3} .4755876
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0424427{col 26}{space 2} .0195884{col 37}{space 1}   -2.17{col 46}{space 3}0.030{col 54}{space 4}-.0808353{col 67}{space 3}-.0040501
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} 1.002814{col 26}{space 2} .3471761{col 37}{space 1}    2.89{col 46}{space 3}0.004{col 54}{space 4} .3223613{col 67}{space 3} 1.683267
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 2.710211{col 26}{space 2} .4704528{col 37}{space 1}    5.76{col 46}{space 3}0.000{col 54}{space 4} 1.788141{col 67}{space 3} 3.632282
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.8317452{col 26}{space 2} .4007857{col 37}{space 1}   -2.08{col 46}{space 3}0.038{col 54}{space 4}-1.617271{col 67}{space 3}-.0462197
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .7068486{col 26}{space 2} .6862964{col 37}{space 1}    1.03{col 46}{space 3}0.303{col 54}{space 4}-.6382676{col 67}{space 3} 2.051965
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2880921{col 26}{space 2} .9666451{col 37}{space 1}    0.30{col 46}{space 3}0.766{col 54}{space 4}-1.606497{col 67}{space 3} 2.182682
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.9259361{col 26}{space 2} .2557346{col 37}{space 1}   -3.62{col 46}{space 3}0.000{col 54}{space 4}-1.427167{col 67}{space 3}-.4247055
{txt}state_school {c |}{col 14}{res}{space 2}-.5025147{col 26}{space 2} .2519133{col 37}{space 1}   -1.99{col 46}{space 3}0.046{col 54}{space 4}-.9962557{col 67}{space 3}-.0087737
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.2091009{col 26}{space 2} .2442031{col 37}{space 1}   -0.86{col 46}{space 3}0.392{col 54}{space 4}-.6877302{col 67}{space 3} .2695284
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0089812{col 26}{space 2} .0144863{col 37}{space 1}    0.62{col 46}{space 3}0.535{col 54}{space 4}-.0194115{col 67}{space 3} .0373738
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.5287845{col 26}{space 2}  .281693{col 37}{space 1}   -1.88{col 46}{space 3}0.060{col 54}{space 4}-1.080893{col 67}{space 3} .0233236
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.774795{col 26}{space 2} .5844625{col 37}{space 1}   -3.04{col 46}{space 3}0.002{col 54}{space 4}-2.920321{col 67}{space 3}-.6292699
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.967595{col 26}{space 2} .2616249{col 37}{space 1}   -7.52{col 46}{space 3}0.000{col 54}{space 4}-2.480371{col 67}{space 3} -1.45482
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.8064048{col 26}{space 2} .6499445{col 37}{space 1}   -1.24{col 46}{space 3}0.215{col 54}{space 4}-2.080273{col 67}{space 3} .4674631
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  1.31668{col 26}{space 2} .7197151{col 37}{space 1}    1.83{col 46}{space 3}0.067{col 54}{space 4}-.0939359{col 67}{space 3} 2.727296
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_ox_clust4.tex"'"':MPCareer_ox_clust4.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_ox_clust4.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-816.34021}  
Iteration 1:{space 3}log pseudolikelihood = {res:-394.84228}  
Iteration 2:{space 3}log pseudolikelihood = {res:-385.64356}  
Iteration 3:{space 3}log pseudolikelihood = {res:-350.23976}  
Iteration 4:{space 3}log pseudolikelihood = {res:-346.75506}  
Iteration 5:{space 3}log pseudolikelihood = {res: -346.2494}  
Iteration 6:{space 3}log pseudolikelihood = {res:-346.14261}  
Iteration 7:{space 3}log pseudolikelihood = {res:-346.11867}  
Iteration 8:{space 3}log pseudolikelihood = {res: -346.1147}  
Iteration 9:{space 3}log pseudolikelihood = {res:-346.11375}  
Iteration 10:{space 2}log pseudolikelihood = {res:-346.11354}  
Iteration 11:{space 2}log pseudolikelihood = {res:-346.11349}  
Iteration 12:{space 2}log pseudolikelihood = {res:-346.11349}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       613
{txt}{col 49}Wald chi2({res}33{txt}){col 67}= {res}  33083.01
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-346.11349{txt}{col 49}Pseudo R2{col 67}= {res}    0.5760

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust4{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.2142032{col 26}{space 2} .5765639{col 37}{space 1}   -0.37{col 46}{space 3}0.710{col 54}{space 4}-1.344248{col 67}{space 3} .9158413
{txt}state_school {c |}{col 14}{res}{space 2}-1.210706{col 26}{space 2} .5138666{col 37}{space 1}   -2.36{col 46}{space 3}0.018{col 54}{space 4}-2.217866{col 67}{space 3}-.2035456
{txt}{space 9}job {c |}{col 14}{res}{space 2} .5898145{col 26}{space 2} .5708757{col 37}{space 1}    1.03{col 46}{space 3}0.302{col 54}{space 4}-.5290813{col 67}{space 3}  1.70871
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0342365{col 26}{space 2} .0379807{col 37}{space 1}   -0.90{col 46}{space 3}0.367{col 54}{space 4}-.1086774{col 67}{space 3} .0402044
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-1.231089{col 26}{space 2} .5153043{col 37}{space 1}   -2.39{col 46}{space 3}0.017{col 54}{space 4}-2.241067{col 67}{space 3}-.2211112
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.640711{col 26}{space 2} .8114086{col 37}{space 1}   -2.02{col 46}{space 3}0.043{col 54}{space 4}-3.231043{col 67}{space 3}-.0503798
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.054953{col 26}{space 2} .5913664{col 37}{space 1}   -1.78{col 46}{space 3}0.074{col 54}{space 4} -2.21401{col 67}{space 3} .1041038
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.2589059{col 26}{space 2} 1.475903{col 37}{space 1}   -0.18{col 46}{space 3}0.861{col 54}{space 4}-3.151622{col 67}{space 3}  2.63381
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.2373561{col 26}{space 2} .5935892{col 37}{space 1}   -0.40{col 46}{space 3}0.689{col 54}{space 4} -1.40077{col 67}{space 3} .9260574
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 3.530919{col 26}{space 2}  1.02613{col 37}{space 1}    3.44{col 46}{space 3}0.001{col 54}{space 4} 1.519741{col 67}{space 3} 5.542098
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-21.57589{col 26}{space 2} .5654349{col 37}{space 1}  -38.16{col 46}{space 3}0.000{col 54}{space 4}-22.68412{col 67}{space 3}-20.46766
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.303409{col 26}{space 2} 1.899054{col 37}{space 1}    2.27{col 46}{space 3}0.023{col 54}{space 4}  .581331{col 67}{space 3} 8.025487
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} .5877023{col 26}{space 2} .5725459{col 37}{space 1}    1.03{col 46}{space 3}0.305{col 54}{space 4}-.5344671{col 67}{space 3} 1.709872
{txt}state_school {c |}{col 14}{res}{space 2}-.7717485{col 26}{space 2} .5304548{col 37}{space 1}   -1.45{col 46}{space 3}0.146{col 54}{space 4}-1.811421{col 67}{space 3} .2679237
{txt}{space 9}job {c |}{col 14}{res}{space 2} .3439726{col 26}{space 2} .5903415{col 37}{space 1}    0.58{col 46}{space 3}0.560{col 54}{space 4}-.8130754{col 67}{space 3} 1.501021
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.1060082{col 26}{space 2} .0394184{col 37}{space 1}   -2.69{col 46}{space 3}0.007{col 54}{space 4}-.1832669{col 67}{space 3}-.0287495
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.0356594{col 26}{space 2} .5014495{col 37}{space 1}   -0.07{col 46}{space 3}0.943{col 54}{space 4}-1.018482{col 67}{space 3} .9471634
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.837775{col 26}{space 2} .7558618{col 37}{space 1}    2.43{col 46}{space 3}0.015{col 54}{space 4}  .356313{col 67}{space 3} 3.319237
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0275869{col 26}{space 2} .6125929{col 37}{space 1}   -0.05{col 46}{space 3}0.964{col 54}{space 4}-1.228247{col 67}{space 3} 1.173073
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .6106888{col 26}{space 2} 1.621711{col 37}{space 1}    0.38{col 46}{space 3}0.706{col 54}{space 4}-2.567806{col 67}{space 3} 3.789184
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -.256731{col 26}{space 2} .5924101{col 37}{space 1}   -0.43{col 46}{space 3}0.665{col 54}{space 4}-1.417833{col 67}{space 3} .9043715
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.807004{col 26}{space 2} 1.110963{col 37}{space 1}    1.63{col 46}{space 3}0.104{col 54}{space 4}-.3704436{col 67}{space 3} 3.984452
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-5.832237{col 26}{space 2} 1.055036{col 37}{space 1}   -5.53{col 46}{space 3}0.000{col 54}{space 4}-7.900069{col 67}{space 3}-3.764405
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 5.374452{col 26}{space 2} 1.956382{col 37}{space 1}    2.75{col 46}{space 3}0.006{col 54}{space 4} 1.540014{col 67}{space 3} 9.208889
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}  -.22318{col 26}{space 2} .5541288{col 37}{space 1}   -0.40{col 46}{space 3}0.687{col 54}{space 4}-1.309252{col 67}{space 3} .8628924
{txt}state_school {c |}{col 14}{res}{space 2}-1.076063{col 26}{space 2} .4830537{col 37}{space 1}   -2.23{col 46}{space 3}0.026{col 54}{space 4}-2.022831{col 67}{space 3}-.1292949
{txt}{space 9}job {c |}{col 14}{res}{space 2}   .53453{col 26}{space 2} .5362215{col 37}{space 1}    1.00{col 46}{space 3}0.319{col 54}{space 4}-.5164447{col 67}{space 3} 1.585505
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0609418{col 26}{space 2} .0358733{col 37}{space 1}   -1.70{col 46}{space 3}0.089{col 54}{space 4}-.1312522{col 67}{space 3} .0093686
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-2.063948{col 26}{space 2} .5009939{col 37}{space 1}   -4.12{col 46}{space 3}0.000{col 54}{space 4}-3.045878{col 67}{space 3}-1.082019
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-2.394432{col 26}{space 2} .8049677{col 37}{space 1}   -2.97{col 46}{space 3}0.003{col 54}{space 4} -3.97214{col 67}{space 3}-.8167247
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2408919{col 26}{space 2} .5446908{col 37}{space 1}   -0.44{col 46}{space 3}0.658{col 54}{space 4}-1.308466{col 67}{space 3} .8266824
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} -.617863{col 26}{space 2} 1.452804{col 37}{space 1}   -0.43{col 46}{space 3}0.671{col 54}{space 4}-3.465307{col 67}{space 3} 2.229581
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.5272556{col 26}{space 2} .5494862{col 37}{space 1}   -0.96{col 46}{space 3}0.337{col 54}{space 4}-1.604229{col 67}{space 3} .5497175
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-18.29128{col 26}{space 2} 1.016269{col 37}{space 1}  -18.00{col 46}{space 3}0.000{col 54}{space 4}-20.28313{col 67}{space 3}-16.29943
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-23.14323{col 26}{space 2} .6104837{col 37}{space 1}  -37.91{col 46}{space 3}0.000{col 54}{space 4}-24.33976{col 67}{space 3}-21.94671
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 6.771054{col 26}{space 2} 1.795104{col 37}{space 1}    3.77{col 46}{space 3}0.000{col 54}{space 4} 3.252715{col 67}{space 3} 10.28939
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_ox_clust4.tex"'"':MPCareer_ox_clust4.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_ox_clust4.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-648.48896}  
Iteration 1:{space 3}log pseudolikelihood = {res:-637.41178}  
Iteration 2:{space 3}log pseudolikelihood = {res:-637.34427}  
Iteration 3:{space 3}log pseudolikelihood = {res:-637.34425}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       613
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}     21.67
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0169
{txt}Log pseudolikelihood = {res}-637.34425{txt}{col 49}Pseudo R2{col 67}= {res}    0.0172

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust3{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.2004104{col 26}{space 2} .2379069{col 37}{space 1}   -0.84{col 46}{space 3}0.400{col 54}{space 4}-.6666994{col 67}{space 3} .2658787
{txt}state_school {c |}{col 14}{res}{space 2}-.0471775{col 26}{space 2} .2330647{col 37}{space 1}   -0.20{col 46}{space 3}0.840{col 54}{space 4}-.5039759{col 67}{space 3} .4096209
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.0224755{col 26}{space 2} .2305001{col 37}{space 1}   -0.10{col 46}{space 3}0.922{col 54}{space 4}-.4742473{col 67}{space 3} .4292964
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0203268{col 26}{space 2}  .013786{col 37}{space 1}    1.47{col 46}{space 3}0.140{col 54}{space 4}-.0066933{col 67}{space 3}  .047347
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.3298107{col 26}{space 2} .2498262{col 37}{space 1}   -1.32{col 46}{space 3}0.187{col 54}{space 4} -.819461{col 67}{space 3} .1598396
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.375231{col 26}{space 2} .6571661{col 37}{space 1}   -2.09{col 46}{space 3}0.036{col 54}{space 4}-2.663253{col 67}{space 3}-.0872092
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.3913115{col 26}{space 2} .2198711{col 37}{space 1}   -1.78{col 46}{space 3}0.075{col 54}{space 4} -.822251{col 67}{space 3} .0396279
{txt}state_school {c |}{col 14}{res}{space 2} .0132703{col 26}{space 2} .2104799{col 37}{space 1}    0.06{col 46}{space 3}0.950{col 54}{space 4}-.3992628{col 67}{space 3} .4258033
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.0265998{col 26}{space 2} .2091703{col 37}{space 1}   -0.13{col 46}{space 3}0.899{col 54}{space 4} -.436566{col 67}{space 3} .3833664
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0196426{col 26}{space 2} .0117802{col 37}{space 1}    1.67{col 46}{space 3}0.095{col 54}{space 4}-.0034462{col 67}{space 3} .0427315
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.8180364{col 26}{space 2} .2361573{col 37}{space 1}   -3.46{col 46}{space 3}0.001{col 54}{space 4}-1.280896{col 67}{space 3}-.3551767
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.8905506{col 26}{space 2} .5465732{col 37}{space 1}   -1.63{col 46}{space 3}0.103{col 54}{space 4}-1.961814{col 67}{space 3} .1807132
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_ox_clust3.tex"'"':MPCareer_ox_clust3.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_ox_clust3.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-648.48896}  
Iteration 1:{space 3}log pseudolikelihood = {res:-588.95141}  
Iteration 2:{space 3}log pseudolikelihood = {res:-587.61858}  
Iteration 3:{space 3}log pseudolikelihood = {res:-587.60346}  
Iteration 4:{space 3}log pseudolikelihood = {res:-587.60345}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       613
{txt}{col 49}Wald chi2({res}16{txt}){col 67}= {res}     91.42
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-587.60345{txt}{col 49}Pseudo R2{col 67}= {res}    0.0939

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust3{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.5740346{col 26}{space 2} .2525218{col 37}{space 1}   -2.27{col 46}{space 3}0.023{col 54}{space 4}-1.068968{col 67}{space 3}-.0791009
{txt}state_school {c |}{col 14}{res}{space 2}-.3653676{col 26}{space 2} .2593513{col 37}{space 1}   -1.41{col 46}{space 3}0.159{col 54}{space 4}-.8736867{col 67}{space 3} .1429516
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1073199{col 26}{space 2} .2384383{col 37}{space 1}   -0.45{col 46}{space 3}0.653{col 54}{space 4}-.5746503{col 67}{space 3} .3600106
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0206525{col 26}{space 2} .0142731{col 37}{space 1}    1.45{col 46}{space 3}0.148{col 54}{space 4}-.0073221{col 67}{space 3} .0486272
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.2889358{col 26}{space 2} .2567447{col 37}{space 1}   -1.13{col 46}{space 3}0.260{col 54}{space 4}-.7921461{col 67}{space 3} .2142746
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.654655{col 26}{space 2} .3897594{col 37}{space 1}   -4.25{col 46}{space 3}0.000{col 54}{space 4}-2.418569{col 67}{space 3}-.8907404
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.252125{col 26}{space 2} .2645056{col 37}{space 1}   -4.73{col 46}{space 3}0.000{col 54}{space 4}-1.770546{col 67}{space 3}-.7337032
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.2715519{col 26}{space 2}  .556018{col 37}{space 1}   -0.49{col 46}{space 3}0.625{col 54}{space 4}-1.361327{col 67}{space 3} .8182233
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.3045479{col 26}{space 2}  .705284{col 37}{space 1}   -0.43{col 46}{space 3}0.666{col 54}{space 4}-1.686879{col 67}{space 3} 1.077783
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} -.949148{col 26}{space 2} .2426483{col 37}{space 1}   -3.91{col 46}{space 3}0.000{col 54}{space 4} -1.42473{col 67}{space 3} -.473566
{txt}state_school {c |}{col 14}{res}{space 2}-.4730093{col 26}{space 2} .2428228{col 37}{space 1}   -1.95{col 46}{space 3}0.051{col 54}{space 4}-.9489333{col 67}{space 3} .0029148
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1662764{col 26}{space 2} .2336679{col 37}{space 1}   -0.71{col 46}{space 3}0.477{col 54}{space 4}-.6242571{col 67}{space 3} .2917043
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0190098{col 26}{space 2} .0132412{col 37}{space 1}    1.44{col 46}{space 3}0.151{col 54}{space 4}-.0069425{col 67}{space 3} .0449621
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.7690888{col 26}{space 2} .2661661{col 37}{space 1}   -2.89{col 46}{space 3}0.004{col 54}{space 4}-1.290765{col 67}{space 3}-.2474128
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -3.07647{col 26}{space 2} .5071095{col 37}{space 1}   -6.07{col 46}{space 3}0.000{col 54}{space 4}-4.070387{col 67}{space 3}-2.082554
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.816635{col 26}{space 2} .2519409{col 37}{space 1}   -7.21{col 46}{space 3}0.000{col 54}{space 4}-2.310429{col 67}{space 3} -1.32284
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.9975029{col 26}{space 2} .6058157{col 37}{space 1}   -1.65{col 46}{space 3}0.100{col 54}{space 4} -2.18488{col 67}{space 3} .1898741
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .668937{col 26}{space 2} .6667643{col 37}{space 1}    1.00{col 46}{space 3}0.316{col 54}{space 4} -.637897{col 67}{space 3} 1.975771
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_ox_clust3.tex"'"':MPCareer_ox_clust3.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_ox_clust3.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-648.48896}  
Iteration 1:{space 3}log pseudolikelihood = {res:-341.35892}  
Iteration 2:{space 3}log pseudolikelihood = {res:-309.30832}  
Iteration 3:{space 3}log pseudolikelihood = {res: -300.2923}  
Iteration 4:{space 3}log pseudolikelihood = {res:-298.59315}  
Iteration 5:{space 3}log pseudolikelihood = {res:-298.29235}  
Iteration 6:{space 3}log pseudolikelihood = {res: -298.2264}  
Iteration 7:{space 3}log pseudolikelihood = {res:-298.21044}  
Iteration 8:{space 3}log pseudolikelihood = {res:-298.20719}  
Iteration 9:{space 3}log pseudolikelihood = {res:-298.20665}  
Iteration 10:{space 2}log pseudolikelihood = {res:-298.20659}  
Iteration 11:{space 2}log pseudolikelihood = {res:-298.20658}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       613
{txt}{col 49}Wald chi2({res}22{txt}){col 67}= {res}  32331.15
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-298.20658{txt}{col 49}Pseudo R2{col 67}= {res}    0.5402

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust3{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.6292617{col 26}{space 2} .3943357{col 37}{space 1}   -1.60{col 46}{space 3}0.111{col 54}{space 4}-1.402145{col 67}{space 3}  .143622
{txt}state_school {c |}{col 14}{res}{space 2}  -.57879{col 26}{space 2} .3526616{col 37}{space 1}   -1.64{col 46}{space 3}0.101{col 54}{space 4}-1.269994{col 67}{space 3}  .112414
{txt}{space 9}job {c |}{col 14}{res}{space 2} .2900852{col 26}{space 2} .3569802{col 37}{space 1}    0.81{col 46}{space 3}0.416{col 54}{space 4}-.4095832{col 67}{space 3} .9897536
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0452294{col 26}{space 2} .0218809{col 37}{space 1}    2.07{col 46}{space 3}0.039{col 54}{space 4} .0023436{col 67}{space 3} .0881153
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} -1.15407{col 26}{space 2}  .359757{col 37}{space 1}   -3.21{col 46}{space 3}0.001{col 54}{space 4} -1.85918{col 67}{space 3} -.448959
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -3.19114{col 26}{space 2} .5002049{col 37}{space 1}   -6.38{col 46}{space 3}0.000{col 54}{space 4}-4.171523{col 67}{space 3}-2.210756
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.9826557{col 26}{space 2} .4456114{col 37}{space 1}   -2.21{col 46}{space 3}0.027{col 54}{space 4}-1.856038{col 67}{space 3}-.1092733
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} -.733024{col 26}{space 2} .5747197{col 37}{space 1}   -1.28{col 46}{space 3}0.202{col 54}{space 4}-1.859454{col 67}{space 3} .3934059
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0059363{col 26}{space 2} .4530046{col 37}{space 1}    0.01{col 46}{space 3}0.990{col 54}{space 4}-.8819363{col 67}{space 3}  .893809
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 2.005981{col 26}{space 2} .4171844{col 37}{space 1}    4.81{col 46}{space 3}0.000{col 54}{space 4} 1.188314{col 67}{space 3} 2.823647
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-19.30637{col 26}{space 2} .3270366{col 37}{space 1}  -59.03{col 46}{space 3}0.000{col 54}{space 4}-19.94735{col 67}{space 3}-18.66539
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.4659344{col 26}{space 2} 1.066416{col 37}{space 1}   -0.44{col 46}{space 3}0.662{col 54}{space 4}-2.556072{col 67}{space 3} 1.624203
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.6220036{col 26}{space 2} .3770487{col 37}{space 1}   -1.65{col 46}{space 3}0.099{col 54}{space 4}-1.361006{col 67}{space 3} .1169983
{txt}state_school {c |}{col 14}{res}{space 2}-.4865808{col 26}{space 2} .3613604{col 37}{space 1}   -1.35{col 46}{space 3}0.178{col 54}{space 4}-1.194834{col 67}{space 3} .2216725
{txt}{space 9}job {c |}{col 14}{res}{space 2} .2531495{col 26}{space 2} .3443425{col 37}{space 1}    0.74{col 46}{space 3}0.462{col 54}{space 4}-.4217495{col 67}{space 3} .9280485
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0137051{col 26}{space 2} .0212567{col 37}{space 1}    0.64{col 46}{space 3}0.519{col 54}{space 4}-.0279572{col 67}{space 3} .0553674
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-2.000363{col 26}{space 2} .3885418{col 37}{space 1}   -5.15{col 46}{space 3}0.000{col 54}{space 4}-2.761891{col 67}{space 3}-1.238835
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-3.788867{col 26}{space 2} .5579491{col 37}{space 1}   -6.79{col 46}{space 3}0.000{col 54}{space 4}-4.882427{col 67}{space 3}-2.695307
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.1916433{col 26}{space 2} .4161498{col 37}{space 1}   -0.46{col 46}{space 3}0.645{col 54}{space 4}-1.007282{col 67}{space 3} .6239953
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-1.052799{col 26}{space 2} .7842392{col 37}{space 1}   -1.34{col 46}{space 3}0.179{col 54}{space 4}-2.589879{col 67}{space 3} .4842816
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -.305834{col 26}{space 2} .3850018{col 37}{space 1}   -0.79{col 46}{space 3}0.427{col 54}{space 4}-1.060424{col 67}{space 3} .4487556
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-18.89825{col 26}{space 2} .4077794{col 37}{space 1}  -46.34{col 46}{space 3}0.000{col 54}{space 4}-19.69748{col 67}{space 3}-18.09902
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-20.72405{col 26}{space 2} .3512627{col 37}{space 1}  -59.00{col 46}{space 3}0.000{col 54}{space 4}-21.41252{col 67}{space 3}-20.03559
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 2.236416{col 26}{space 2} 1.022861{col 37}{space 1}    2.19{col 46}{space 3}0.029{col 54}{space 4} .2316457{col 67}{space 3} 4.241186
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 182 observations completely determined.{txt}  Standard errors questionable.{p_end}
{stata `"shellout using `"MPCareer_ox_clust3.tex"'"':MPCareer_ox_clust3.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_ox_clust3.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-982.00931}  
Iteration 1:{space 3}log pseudolikelihood = {res: -957.9944}  
Iteration 2:{space 3}log pseudolikelihood = {res:-955.76035}  
Iteration 3:{space 3}log pseudolikelihood = {res:-955.75391}  
Iteration 4:{space 3}log pseudolikelihood = {res:-955.75391}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       613
{txt}{col 49}Wald chi2({res}25{txt}){col 67}= {res}     54.01
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0007
{txt}Log pseudolikelihood = {res}-955.75391{txt}{col 49}Pseudo R2{col 67}= {res}    0.0267

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust6{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.2321731{col 26}{space 2} .2504168{col 37}{space 1}   -0.93{col 46}{space 3}0.354{col 54}{space 4} -.722981{col 67}{space 3} .2586348
{txt}state_school {c |}{col 14}{res}{space 2} .0045312{col 26}{space 2} .2499852{col 37}{space 1}    0.02{col 46}{space 3}0.986{col 54}{space 4}-.4854307{col 67}{space 3} .4944931
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.0356499{col 26}{space 2} .2453206{col 37}{space 1}   -0.15{col 46}{space 3}0.884{col 54}{space 4}-.5164695{col 67}{space 3} .4451696
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0113865{col 26}{space 2} .0149305{col 37}{space 1}    0.76{col 46}{space 3}0.446{col 54}{space 4}-.0178767{col 67}{space 3} .0406497
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.1234361{col 26}{space 2}  .270319{col 37}{space 1}   -0.46{col 46}{space 3}0.648{col 54}{space 4}-.6532516{col 67}{space 3} .4063794
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.7473449{col 26}{space 2} .7090765{col 37}{space 1}   -1.05{col 46}{space 3}0.292{col 54}{space 4}-2.137109{col 67}{space 3} .6424195
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.3210047{col 26}{space 2} .4555927{col 37}{space 1}   -0.70{col 46}{space 3}0.481{col 54}{space 4} -1.21395{col 67}{space 3} .5719405
{txt}state_school {c |}{col 14}{res}{space 2} .0248338{col 26}{space 2}  .412699{col 37}{space 1}    0.06{col 46}{space 3}0.952{col 54}{space 4}-.7840413{col 67}{space 3} .8337089
{txt}{space 9}job {c |}{col 14}{res}{space 2} .1531287{col 26}{space 2} .3863228{col 37}{space 1}    0.40{col 46}{space 3}0.692{col 54}{space 4}  -.60405{col 67}{space 3} .9103074
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0135611{col 26}{space 2} .0263444{col 37}{space 1}    0.51{col 46}{space 3}0.607{col 54}{space 4} -.038073{col 67}{space 3} .0651951
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} .3958871{col 26}{space 2} .4072748{col 37}{space 1}    0.97{col 46}{space 3}0.331{col 54}{space 4}-.4023568{col 67}{space 3} 1.194131
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.501884{col 26}{space 2} 1.195617{col 37}{space 1}   -2.09{col 46}{space 3}0.036{col 54}{space 4}-4.845251{col 67}{space 3}-.1585175
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.0281777{col 26}{space 2} .3700735{col 37}{space 1}   -0.08{col 46}{space 3}0.939{col 54}{space 4}-.7535084{col 67}{space 3}  .697153
{txt}state_school {c |}{col 14}{res}{space 2} .2543923{col 26}{space 2} .3544725{col 37}{space 1}    0.72{col 46}{space 3}0.473{col 54}{space 4}-.4403611{col 67}{space 3} .9491456
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.2065431{col 26}{space 2} .3600879{col 37}{space 1}   -0.57{col 46}{space 3}0.566{col 54}{space 4}-.9123024{col 67}{space 3} .4992163
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0752962{col 26}{space 2} .0247703{col 37}{space 1}   -3.04{col 46}{space 3}0.002{col 54}{space 4} -.123845{col 67}{space 3}-.0267474
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} .8677964{col 26}{space 2}  .350711{col 37}{space 1}    2.47{col 46}{space 3}0.013{col 54}{space 4} .1804154{col 67}{space 3} 1.555177
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.142188{col 26}{space 2} 1.081922{col 37}{space 1}    1.06{col 46}{space 3}0.291{col 54}{space 4}-.9783409{col 67}{space 3} 3.262716
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_5     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.4512643{col 26}{space 2}  .253114{col 37}{space 1}   -1.78{col 46}{space 3}0.075{col 54}{space 4}-.9473586{col 67}{space 3}   .04483
{txt}state_school {c |}{col 14}{res}{space 2} .2662744{col 26}{space 2} .2456322{col 37}{space 1}    1.08{col 46}{space 3}0.278{col 54}{space 4}-.2151559{col 67}{space 3} .7477047
{txt}{space 9}job {c |}{col 14}{res}{space 2} .0075526{col 26}{space 2} .2431649{col 37}{space 1}    0.03{col 46}{space 3}0.975{col 54}{space 4}-.4690419{col 67}{space 3}  .484147
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0183645{col 26}{space 2} .0139562{col 37}{space 1}    1.32{col 46}{space 3}0.188{col 54}{space 4}-.0089892{col 67}{space 3} .0457182
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.3476122{col 26}{space 2} .2727589{col 37}{space 1}   -1.27{col 46}{space 3}0.203{col 54}{space 4}-.8822098{col 67}{space 3} .1869854
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.096047{col 26}{space 2}  .659913{col 37}{space 1}   -1.66{col 46}{space 3}0.097{col 54}{space 4}-2.389453{col 67}{space 3} .1973583
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_6     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.3413072{col 26}{space 2} .3798816{col 37}{space 1}   -0.90{col 46}{space 3}0.369{col 54}{space 4}-1.085861{col 67}{space 3} .4032472
{txt}state_school {c |}{col 14}{res}{space 2}-.4461616{col 26}{space 2} .3534925{col 37}{space 1}   -1.26{col 46}{space 3}0.207{col 54}{space 4}-1.138994{col 67}{space 3}  .246671
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1651953{col 26}{space 2} .3634147{col 37}{space 1}   -0.45{col 46}{space 3}0.649{col 54}{space 4} -.877475{col 67}{space 3} .5470844
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0091452{col 26}{space 2} .0181938{col 37}{space 1}   -0.50{col 46}{space 3}0.615{col 54}{space 4}-.0448044{col 67}{space 3}  .026514
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-1.423691{col 26}{space 2} .4909811{col 37}{space 1}   -2.90{col 46}{space 3}0.004{col 54}{space 4}-2.385996{col 67}{space 3}-.4613852
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.297457{col 26}{space 2} .8246603{col 37}{space 1}   -0.36{col 46}{space 3}0.718{col 54}{space 4}-1.913762{col 67}{space 3} 1.318847
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_ox_clust6.tex"'"':MPCareer_ox_clust6.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_ox_clust6.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-982.00931}  
Iteration 1:{space 3}log pseudolikelihood = {res:-958.79035}  
Iteration 2:{space 3}log pseudolikelihood = {res: -869.3963}  
Iteration 3:{space 3}log pseudolikelihood = {res:-852.23688}  
Iteration 4:{space 3}log pseudolikelihood = {res:-849.58238}  
Iteration 5:{space 3}log pseudolikelihood = {res:-849.31554}  
Iteration 6:{space 3}log pseudolikelihood = {res:-849.27858}  
Iteration 7:{space 3}log pseudolikelihood = {res:-849.27086}  
Iteration 8:{space 3}log pseudolikelihood = {res:-849.26926}  
Iteration 9:{space 3}log pseudolikelihood = {res:-849.26889}  
Iteration 10:{space 2}log pseudolikelihood = {res: -849.2688}  
Iteration 11:{space 2}log pseudolikelihood = {res:-849.26879}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       613
{txt}{col 49}Wald chi2({res}40{txt}){col 67}= {res}   2923.41
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-849.26879{txt}{col 49}Pseudo R2{col 67}= {res}    0.1352

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust6{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.5491614{col 26}{space 2} .2652526{col 37}{space 1}   -2.07{col 46}{space 3}0.038{col 54}{space 4}-1.069047{col 67}{space 3}-.0292758
{txt}state_school {c |}{col 14}{res}{space 2}-.3997368{col 26}{space 2} .2710763{col 37}{space 1}   -1.47{col 46}{space 3}0.140{col 54}{space 4}-.9310365{col 67}{space 3} .1315629
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1526094{col 26}{space 2} .2507736{col 37}{space 1}   -0.61{col 46}{space 3}0.543{col 54}{space 4}-.6441167{col 67}{space 3} .3388978
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0098629{col 26}{space 2} .0157957{col 37}{space 1}    0.62{col 46}{space 3}0.532{col 54}{space 4} -.021096{col 67}{space 3} .0408219
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} -.027007{col 26}{space 2} .2765751{col 37}{space 1}   -0.10{col 46}{space 3}0.922{col 54}{space 4}-.5690843{col 67}{space 3} .5150703
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.3189493{col 26}{space 2} .4857983{col 37}{space 1}   -0.66{col 46}{space 3}0.511{col 54}{space 4}-1.271096{col 67}{space 3} .6331978
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.415515{col 26}{space 2} .2756038{col 37}{space 1}   -5.14{col 46}{space 3}0.000{col 54}{space 4}-1.955689{col 67}{space 3}-.8753416
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.0658334{col 26}{space 2} .6180012{col 37}{space 1}   -0.11{col 46}{space 3}0.915{col 54}{space 4}-1.277094{col 67}{space 3} 1.145427
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .3756775{col 26}{space 2} .7673177{col 37}{space 1}    0.49{col 46}{space 3}0.624{col 54}{space 4}-1.128238{col 67}{space 3} 1.879593
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} .2827442{col 26}{space 2} .5098325{col 37}{space 1}    0.55{col 46}{space 3}0.579{col 54}{space 4}-.7165091{col 67}{space 3} 1.281998
{txt}state_school {c |}{col 14}{res}{space 2}-.1837969{col 26}{space 2} .5213932{col 37}{space 1}   -0.35{col 46}{space 3}0.724{col 54}{space 4}-1.205709{col 67}{space 3} .8381151
{txt}{space 9}job {c |}{col 14}{res}{space 2} .1596438{col 26}{space 2} .5250498{col 37}{space 1}    0.30{col 46}{space 3}0.761{col 54}{space 4} -.869435{col 67}{space 3} 1.188723
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0037649{col 26}{space 2} .0280786{col 37}{space 1}    0.13{col 46}{space 3}0.893{col 54}{space 4}-.0512683{col 67}{space 3}  .058798
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} .8177322{col 26}{space 2} .5375407{col 37}{space 1}    1.52{col 46}{space 3}0.128{col 54}{space 4}-.2358283{col 67}{space 3} 1.871293
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 5.256763{col 26}{space 2} 1.048438{col 37}{space 1}    5.01{col 46}{space 3}0.000{col 54}{space 4} 3.201862{col 67}{space 3} 7.311663
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .8360425{col 26}{space 2} 1.125632{col 37}{space 1}    0.74{col 46}{space 3}0.458{col 54}{space 4}-1.370156{col 67}{space 3} 3.042241
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .2162231{col 26}{space 2} 1.213857{col 37}{space 1}    0.18{col 46}{space 3}0.859{col 54}{space 4}-2.162894{col 67}{space 3}  2.59534
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-4.653517{col 26}{space 2} 1.682558{col 37}{space 1}   -2.77{col 46}{space 3}0.006{col 54}{space 4}-7.951271{col 67}{space 3}-1.355763
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.0589365{col 26}{space 2} .4268384{col 37}{space 1}   -0.14{col 46}{space 3}0.890{col 54}{space 4}-.8955244{col 67}{space 3} .7776514
{txt}state_school {c |}{col 14}{res}{space 2}-.0856617{col 26}{space 2} .3808599{col 37}{space 1}   -0.22{col 46}{space 3}0.822{col 54}{space 4}-.8321335{col 67}{space 3}   .66081
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.2954103{col 26}{space 2} .3821455{col 37}{space 1}   -0.77{col 46}{space 3}0.440{col 54}{space 4}-1.044402{col 67}{space 3}  .453581
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0708033{col 26}{space 2} .0233621{col 37}{space 1}   -3.03{col 46}{space 3}0.002{col 54}{space 4}-.1165922{col 67}{space 3}-.0250143
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} 1.066489{col 26}{space 2} .3817648{col 37}{space 1}    2.79{col 46}{space 3}0.005{col 54}{space 4} .3182435{col 67}{space 3} 1.814734
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.514319{col 26}{space 2} .5465191{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .4431615{col 67}{space 3} 2.585477
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.091548{col 26}{space 2} .4463824{col 37}{space 1}   -2.45{col 46}{space 3}0.014{col 54}{space 4}-1.966441{col 67}{space 3}-.2166543
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .7606603{col 26}{space 2} .6731642{col 37}{space 1}    1.13{col 46}{space 3}0.258{col 54}{space 4}-.5587173{col 67}{space 3} 2.080038
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.381173{col 26}{space 2}   1.1015{col 37}{space 1}    1.25{col 46}{space 3}0.210{col 54}{space 4}-.7777272{col 67}{space 3} 3.540073
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_5     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.9509626{col 26}{space 2} .2753158{col 37}{space 1}   -3.45{col 46}{space 3}0.001{col 54}{space 4}-1.490572{col 67}{space 3}-.4113536
{txt}state_school {c |}{col 14}{res}{space 2}-.3234623{col 26}{space 2}  .268184{col 37}{space 1}   -1.21{col 46}{space 3}0.228{col 54}{space 4}-.8490932{col 67}{space 3} .2021686
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1698335{col 26}{space 2}  .265148{col 37}{space 1}   -0.64{col 46}{space 3}0.522{col 54}{space 4}-.6895141{col 67}{space 3} .3498471
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0159768{col 26}{space 2} .0156433{col 37}{space 1}    1.02{col 46}{space 3}0.307{col 54}{space 4}-.0146834{col 67}{space 3}  .046637
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.2394557{col 26}{space 2} .2979126{col 37}{space 1}   -0.80{col 46}{space 3}0.422{col 54}{space 4}-.8233536{col 67}{space 3} .3444422
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.699218{col 26}{space 2} .6302552{col 37}{space 1}   -2.70{col 46}{space 3}0.007{col 54}{space 4}-2.934496{col 67}{space 3}-.4639408
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-2.050306{col 26}{space 2} .2833517{col 37}{space 1}   -7.24{col 46}{space 3}0.000{col 54}{space 4}-2.605665{col 67}{space 3}-1.494947
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.4778908{col 26}{space 2} .6482493{col 37}{space 1}   -0.74{col 46}{space 3}0.461{col 54}{space 4}-1.748436{col 67}{space 3} .7926544
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5287361{col 26}{space 2} .7862827{col 37}{space 1}    0.67{col 46}{space 3}0.501{col 54}{space 4} -1.01235{col 67}{space 3} 2.069822
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_6     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.8726861{col 26}{space 2} .3994717{col 37}{space 1}   -2.18{col 46}{space 3}0.029{col 54}{space 4}-1.655636{col 67}{space 3} -.089736
{txt}state_school {c |}{col 14}{res}{space 2}-.9327829{col 26}{space 2} .3995294{col 37}{space 1}   -2.33{col 46}{space 3}0.020{col 54}{space 4}-1.715846{col 67}{space 3}-.1497197
{txt}{space 9}job {c |}{col 14}{res}{space 2} -.343899{col 26}{space 2} .3673505{col 37}{space 1}   -0.94{col 46}{space 3}0.349{col 54}{space 4}-1.063893{col 67}{space 3} .3760949
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0133505{col 26}{space 2} .0198201{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-.0521971{col 67}{space 3} .0254961
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-1.366847{col 26}{space 2} .5111535{col 37}{space 1}   -2.67{col 46}{space 3}0.007{col 54}{space 4}-2.368689{col 67}{space 3}-.3650046
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -2.01452{col 26}{space 2} 1.059127{col 37}{space 1}   -1.90{col 46}{space 3}0.057{col 54}{space 4} -4.09037{col 67}{space 3} .0613301
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.787759{col 26}{space 2} .3936087{col 37}{space 1}   -4.54{col 46}{space 3}0.000{col 54}{space 4}-2.559217{col 67}{space 3}  -1.0163
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-14.12602{col 26}{space 2} .5199466{col 37}{space 1}  -27.17{col 46}{space 3}0.000{col 54}{space 4} -15.1451{col 67}{space 3}-13.10694
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.339252{col 26}{space 2} .9453582{col 37}{space 1}    1.42{col 46}{space 3}0.157{col 54}{space 4} -.513616{col 67}{space 3}  3.19212
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_ox_clust6.tex"'"':MPCareer_ox_clust6.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_ox_clust6.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-982.00931}  
Iteration 1:{space 3}log pseudolikelihood = {res:-596.85756}  
Iteration 2:{space 3}log pseudolikelihood = {res: -585.8685}  
Iteration 3:{space 3}log pseudolikelihood = {res:-513.97072}  
Iteration 4:{space 3}log pseudolikelihood = {res:-488.05735}  
Iteration 5:{space 3}log pseudolikelihood = {res:-466.94562}  
Iteration 6:{space 3}log pseudolikelihood = {res:-463.92929}  
Iteration 7:{space 3}log pseudolikelihood = {res:-463.33401}  
Iteration 8:{space 3}log pseudolikelihood = {res:-463.22413}  
Iteration 9:{space 3}log pseudolikelihood = {res:-463.19922}  
Iteration 10:{space 2}log pseudolikelihood = {res:-463.19343}  
Iteration 11:{space 2}log pseudolikelihood = {res:-463.19212}  
Iteration 12:{space 2}log pseudolikelihood = {res:-463.19183}  
Iteration 13:{space 2}log pseudolikelihood = {res:-463.19179}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       613
{txt}{col 49}Wald chi2({res}55{txt}){col 67}= {res}  42606.47
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-463.19179{txt}{col 49}Pseudo R2{col 67}= {res}    0.5283

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust6{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.2351837{col 26}{space 2} .5771749{col 37}{space 1}   -0.41{col 46}{space 3}0.684{col 54}{space 4}-1.366426{col 67}{space 3} .8960583
{txt}state_school {c |}{col 14}{res}{space 2}-1.210182{col 26}{space 2} .5080678{col 37}{space 1}   -2.38{col 46}{space 3}0.017{col 54}{space 4}-2.205977{col 67}{space 3}-.2143875
{txt}{space 9}job {c |}{col 14}{res}{space 2} .5965574{col 26}{space 2} .5706939{col 37}{space 1}    1.05{col 46}{space 3}0.296{col 54}{space 4}-.5219821{col 67}{space 3} 1.715097
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0366269{col 26}{space 2} .0386026{col 37}{space 1}   -0.95{col 46}{space 3}0.343{col 54}{space 4}-.1122865{col 67}{space 3} .0390327
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-1.241093{col 26}{space 2}  .513446{col 37}{space 1}   -2.42{col 46}{space 3}0.016{col 54}{space 4}-2.247429{col 67}{space 3}-.2347573
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.772666{col 26}{space 2} .8467925{col 37}{space 1}   -2.09{col 46}{space 3}0.036{col 54}{space 4}-3.432348{col 67}{space 3}-.1129828
{txt}{space 10}2  {c |}{col 14}{res}{space 2} -.985947{col 26}{space 2} .5822543{col 37}{space 1}   -1.69{col 46}{space 3}0.090{col 54}{space 4}-2.127144{col 67}{space 3} .1552505
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} -.314464{col 26}{space 2} 1.348433{col 37}{space 1}   -0.23{col 46}{space 3}0.816{col 54}{space 4}-2.957345{col 67}{space 3} 2.328416
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.2937059{col 26}{space 2} .6127155{col 37}{space 1}   -0.48{col 46}{space 3}0.632{col 54}{space 4}-1.494606{col 67}{space 3} .9071943
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 3.532267{col 26}{space 2} 1.007419{col 37}{space 1}    3.51{col 46}{space 3}0.000{col 54}{space 4} 1.557763{col 67}{space 3} 5.506771
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-20.58104{col 26}{space 2}  .589708{col 37}{space 1}  -34.90{col 46}{space 3}0.000{col 54}{space 4}-21.73685{col 67}{space 3}-19.42523
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.415889{col 26}{space 2}  1.93317{col 37}{space 1}    2.28{col 46}{space 3}0.022{col 54}{space 4} .6269446{col 67}{space 3} 8.204833
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}  .806743{col 26}{space 2}  .717781{col 37}{space 1}    1.12{col 46}{space 3}0.261{col 54}{space 4}-.6000819{col 67}{space 3} 2.213568
{txt}state_school {c |}{col 14}{res}{space 2}-1.015624{col 26}{space 2} .6420625{col 37}{space 1}   -1.58{col 46}{space 3}0.114{col 54}{space 4}-2.274043{col 67}{space 3} .2427953
{txt}{space 9}job {c |}{col 14}{res}{space 2} .7702445{col 26}{space 2}  .722969{col 37}{space 1}    1.07{col 46}{space 3}0.287{col 54}{space 4}-.6467488{col 67}{space 3} 2.187238
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0592412{col 26}{space 2} .0433169{col 37}{space 1}   -1.37{col 46}{space 3}0.171{col 54}{space 4}-.1441408{col 67}{space 3} .0256584
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.3169597{col 26}{space 2}  .612265{col 37}{space 1}   -0.52{col 46}{space 3}0.605{col 54}{space 4}-1.516977{col 67}{space 3} .8830577
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 4.443147{col 26}{space 2} 1.174845{col 37}{space 1}    3.78{col 46}{space 3}0.000{col 54}{space 4} 2.140493{col 67}{space 3} 6.745801
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.924904{col 26}{space 2} 1.171202{col 37}{space 1}    1.64{col 46}{space 3}0.100{col 54}{space 4}-.3706095{col 67}{space 3} 4.220418
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.0861586{col 26}{space 2} 1.724652{col 37}{space 1}   -0.05{col 46}{space 3}0.960{col 54}{space 4}-3.466415{col 67}{space 3} 3.294098
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.3665547{col 26}{space 2} .6982841{col 37}{space 1}   -0.52{col 46}{space 3}0.600{col 54}{space 4}-1.735166{col 67}{space 3} 1.002057
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.211692{col 26}{space 2} 1.197886{col 37}{space 1}    1.01{col 46}{space 3}0.312{col 54}{space 4}-1.136121{col 67}{space 3} 3.559506
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-18.25122{col 26}{space 2} .6788843{col 37}{space 1}  -26.88{col 46}{space 3}0.000{col 54}{space 4}-19.58181{col 67}{space 3}-16.92063
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}  .623116{col 26}{space 2} 2.334017{col 37}{space 1}    0.27{col 46}{space 3}0.789{col 54}{space 4}-3.951473{col 67}{space 3} 5.197706
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} .4133484{col 26}{space 2} .6101753{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.7825732{col 67}{space 3}  1.60927
{txt}state_school {c |}{col 14}{res}{space 2}-.7113132{col 26}{space 2} .5519336{col 37}{space 1}   -1.29{col 46}{space 3}0.197{col 54}{space 4}-1.793083{col 67}{space 3} .3704567
{txt}{space 9}job {c |}{col 14}{res}{space 2} .2212142{col 26}{space 2} .6037776{col 37}{space 1}    0.37{col 46}{space 3}0.714{col 54}{space 4}-.9621682{col 67}{space 3} 1.404596
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.1388792{col 26}{space 2} .0443079{col 37}{space 1}   -3.13{col 46}{space 3}0.002{col 54}{space 4}-.2257211{col 67}{space 3}-.0520374
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} .0537382{col 26}{space 2} .5326371{col 37}{space 1}    0.10{col 46}{space 3}0.920{col 54}{space 4}-.9902113{col 67}{space 3} 1.097688
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .4784849{col 26}{space 2} .8297549{col 37}{space 1}    0.58{col 46}{space 3}0.564{col 54}{space 4}-1.147805{col 67}{space 3} 2.104775
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.3454227{col 26}{space 2} .6376919{col 37}{space 1}   -0.54{col 46}{space 3}0.588{col 54}{space 4}-1.595276{col 67}{space 3} .9044304
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .6630946{col 26}{space 2} 1.447945{col 37}{space 1}    0.46{col 46}{space 3}0.647{col 54}{space 4}-2.174826{col 67}{space 3} 3.501015
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.3545595{col 26}{space 2} .6672083{col 37}{space 1}   -0.53{col 46}{space 3}0.595{col 54}{space 4}-1.662264{col 67}{space 3} .9531447
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 2.102758{col 26}{space 2} 1.097364{col 37}{space 1}    1.92{col 46}{space 3}0.055{col 54}{space 4}-.0480353{col 67}{space 3} 4.253551
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-5.580896{col 26}{space 2} 1.104197{col 37}{space 1}   -5.05{col 46}{space 3}0.000{col 54}{space 4}-7.745083{col 67}{space 3}-3.416709
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 6.599979{col 26}{space 2} 2.157179{col 37}{space 1}    3.06{col 46}{space 3}0.002{col 54}{space 4} 2.371987{col 67}{space 3} 10.82797
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_5     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.1724398{col 26}{space 2} .5598088{col 37}{space 1}   -0.31{col 46}{space 3}0.758{col 54}{space 4}-1.269645{col 67}{space 3} .9247653
{txt}state_school {c |}{col 14}{res}{space 2}-.8912884{col 26}{space 2} .4807371{col 37}{space 1}   -1.85{col 46}{space 3}0.064{col 54}{space 4}-1.833516{col 67}{space 3} .0509391
{txt}{space 9}job {c |}{col 14}{res}{space 2} .5571102{col 26}{space 2} .5380611{col 37}{space 1}    1.04{col 46}{space 3}0.300{col 54}{space 4}-.4974701{col 67}{space 3}  1.61169
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0510951{col 26}{space 2} .0367403{col 37}{space 1}   -1.39{col 46}{space 3}0.164{col 54}{space 4}-.1231049{col 67}{space 3} .0209146
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-1.743879{col 26}{space 2} .5035362{col 37}{space 1}   -3.46{col 46}{space 3}0.001{col 54}{space 4}-2.730791{col 67}{space 3}-.7569657
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-2.332725{col 26}{space 2} .8527175{col 37}{space 1}   -2.74{col 46}{space 3}0.006{col 54}{space 4}-4.004021{col 67}{space 3}-.6614296
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.4016669{col 26}{space 2} .5451746{col 37}{space 1}   -0.74{col 46}{space 3}0.461{col 54}{space 4}-1.470189{col 67}{space 3} .6668556
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.3273211{col 26}{space 2} 1.328401{col 37}{space 1}   -0.25{col 46}{space 3}0.805{col 54}{space 4} -2.93094{col 67}{space 3} 2.276298
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0920695{col 26}{space 2} .5648506{col 37}{space 1}   -0.16{col 46}{space 3}0.871{col 54}{space 4}-1.199156{col 67}{space 3} 1.015017
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-16.71884{col 26}{space 2} 1.000557{col 37}{space 1}  -16.71{col 46}{space 3}0.000{col 54}{space 4} -18.6799{col 67}{space 3}-14.75779
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-21.73525{col 26}{space 2} .6035184{col 37}{space 1}  -36.01{col 46}{space 3}0.000{col 54}{space 4}-22.91812{col 67}{space 3}-20.55237
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 5.735589{col 26}{space 2} 1.832627{col 37}{space 1}    3.13{col 46}{space 3}0.002{col 54}{space 4} 2.143707{col 67}{space 3} 9.327471
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_6     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.4844323{col 26}{space 2} .6642364{col 37}{space 1}   -0.73{col 46}{space 3}0.466{col 54}{space 4}-1.786312{col 67}{space 3} .8174472
{txt}state_school {c |}{col 14}{res}{space 2}-1.794767{col 26}{space 2} .6203354{col 37}{space 1}   -2.89{col 46}{space 3}0.004{col 54}{space 4}-3.010602{col 67}{space 3}-.5789323
{txt}{space 9}job {c |}{col 14}{res}{space 2} .3598527{col 26}{space 2} .6526305{col 37}{space 1}    0.55{col 46}{space 3}0.581{col 54}{space 4}-.9192796{col 67}{space 3} 1.638985
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.1105832{col 26}{space 2} .0415513{col 37}{space 1}   -2.66{col 46}{space 3}0.008{col 54}{space 4}-.1920223{col 67}{space 3}-.0291441
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-3.391707{col 26}{space 2} .7165273{col 37}{space 1}   -4.73{col 46}{space 3}0.000{col 54}{space 4}-4.796074{col 67}{space 3}-1.987339
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-2.601472{col 26}{space 2} 1.167181{col 37}{space 1}   -2.23{col 46}{space 3}0.026{col 54}{space 4}-4.889106{col 67}{space 3}-.3138382
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .6154043{col 26}{space 2} .6544952{col 37}{space 1}    0.94{col 46}{space 3}0.347{col 54}{space 4}-.6673827{col 67}{space 3} 1.898191
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-16.57532{col 26}{space 2} 1.321432{col 37}{space 1}  -12.54{col 46}{space 3}0.000{col 54}{space 4}-19.16528{col 67}{space 3}-13.98537
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-19.22173{col 26}{space 2} .6569229{col 37}{space 1}  -29.26{col 46}{space 3}0.000{col 54}{space 4}-20.50927{col 67}{space 3}-17.93418
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-17.78672{col 26}{space 2} 1.077442{col 37}{space 1}  -16.51{col 46}{space 3}0.000{col 54}{space 4}-19.89847{col 67}{space 3}-15.67497
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-23.27222{col 26}{space 2} .8350957{col 37}{space 1}  -27.87{col 46}{space 3}0.000{col 54}{space 4}-24.90897{col 67}{space 3}-21.63546
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 8.477363{col 26}{space 2} 2.096287{col 37}{space 1}    4.04{col 46}{space 3}0.000{col 54}{space 4} 4.368715{col 67}{space 3} 12.58601
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_ox_clust6.tex"'"':MPCareer_ox_clust6.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_ox_clust6.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1008.7102}  
Iteration 1:{space 3}log pseudolikelihood = {res:-984.81287}  
Iteration 2:{space 3}log pseudolikelihood = {res:-976.85079}  
Iteration 3:{space 3}log pseudolikelihood = {res:-976.54762}  
Iteration 4:{space 3}log pseudolikelihood = {res:-976.54435}  
Iteration 5:{space 3}log pseudolikelihood = {res:-976.54435}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       613
{txt}{col 49}Wald chi2({res}30{txt}){col 67}= {res}     61.16
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0007
{txt}Log pseudolikelihood = {res}-976.54435{txt}{col 49}Pseudo R2{col 67}= {res}    0.0319

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust7{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.2322212{col 26}{space 2} .2504851{col 37}{space 1}   -0.93{col 46}{space 3}0.354{col 54}{space 4} -.723163{col 67}{space 3} .2587207
{txt}state_school {c |}{col 14}{res}{space 2} .0029153{col 26}{space 2} .2507947{col 37}{space 1}    0.01{col 46}{space 3}0.991{col 54}{space 4}-.4886334{col 67}{space 3} .4944639
{txt}{space 9}job {c |}{col 14}{res}{space 2} -.034828{col 26}{space 2} .2455183{col 37}{space 1}   -0.14{col 46}{space 3}0.887{col 54}{space 4} -.516035{col 67}{space 3} .4463789
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0114701{col 26}{space 2}  .015023{col 37}{space 1}    0.76{col 46}{space 3}0.445{col 54}{space 4}-.0179745{col 67}{space 3} .0409147
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.1239178{col 26}{space 2}  .271021{col 37}{space 1}   -0.46{col 46}{space 3}0.648{col 54}{space 4}-.6551093{col 67}{space 3} .4072736
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.7500821{col 26}{space 2} .7112279{col 37}{space 1}   -1.05{col 46}{space 3}0.292{col 54}{space 4}-2.144063{col 67}{space 3}  .643899
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.3214953{col 26}{space 2} .4556182{col 37}{space 1}   -0.71{col 46}{space 3}0.480{col 54}{space 4} -1.21449{col 67}{space 3} .5714999
{txt}state_school {c |}{col 14}{res}{space 2} .0248324{col 26}{space 2} .4140355{col 37}{space 1}    0.06{col 46}{space 3}0.952{col 54}{space 4}-.7866622{col 67}{space 3} .8363271
{txt}{space 9}job {c |}{col 14}{res}{space 2} .1536352{col 26}{space 2} .3862449{col 37}{space 1}    0.40{col 46}{space 3}0.691{col 54}{space 4}-.6033909{col 67}{space 3} .9106614
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0136753{col 26}{space 2}  .026493{col 37}{space 1}    0.52{col 46}{space 3}0.606{col 54}{space 4}  -.03825{col 67}{space 3} .0656006
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} .3960456{col 26}{space 2} .4083062{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}  -.40422{col 67}{space 3} 1.196311
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.506865{col 26}{space 2}  1.19906{col 37}{space 1}   -2.09{col 46}{space 3}0.037{col 54}{space 4} -4.85698{col 67}{space 3}-.1567494
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.2137985{col 26}{space 2} .6878871{col 37}{space 1}   -0.31{col 46}{space 3}0.756{col 54}{space 4}-1.562032{col 67}{space 3} 1.134435
{txt}state_school {c |}{col 14}{res}{space 2} 1.675251{col 26}{space 2} .8190735{col 37}{space 1}    2.05{col 46}{space 3}0.041{col 54}{space 4} .0698964{col 67}{space 3} 3.280605
{txt}{space 9}job {c |}{col 14}{res}{space 2} -.600929{col 26}{space 2} .6855567{col 37}{space 1}   -0.88{col 46}{space 3}0.381{col 54}{space 4}-1.944595{col 67}{space 3} .7427375
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.1854729{col 26}{space 2} .0591336{col 37}{space 1}   -3.14{col 46}{space 3}0.002{col 54}{space 4}-.3013725{col 67}{space 3}-.0695732
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}  1.30643{col 26}{space 2} .6112945{col 37}{space 1}    2.14{col 46}{space 3}0.033{col 54}{space 4} .1083152{col 67}{space 3} 2.504546
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.659149{col 26}{space 2} 2.191258{col 37}{space 1}    1.21{col 46}{space 3}0.225{col 54}{space 4}-1.635637{col 67}{space 3} 6.953935
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_5     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.4513204{col 26}{space 2} .2531588{col 37}{space 1}   -1.78{col 46}{space 3}0.075{col 54}{space 4}-.9475025{col 67}{space 3} .0448616
{txt}state_school {c |}{col 14}{res}{space 2}  .263619{col 26}{space 2}  .246363{col 37}{space 1}    1.07{col 46}{space 3}0.285{col 54}{space 4}-.2192437{col 67}{space 3} .7464816
{txt}{space 9}job {c |}{col 14}{res}{space 2} .0084367{col 26}{space 2} .2433445{col 37}{space 1}    0.03{col 46}{space 3}0.972{col 54}{space 4}-.4685097{col 67}{space 3} .4853832
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0184275{col 26}{space 2} .0140428{col 37}{space 1}    1.31{col 46}{space 3}0.189{col 54}{space 4}-.0090959{col 67}{space 3}  .045951
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.3476899{col 26}{space 2} .2733402{col 37}{space 1}   -1.27{col 46}{space 3}0.203{col 54}{space 4}-.8834268{col 67}{space 3} .1880471
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.097354{col 26}{space 2} .6618931{col 37}{space 1}   -1.66{col 46}{space 3}0.097{col 54}{space 4} -2.39464{col 67}{space 3} .1999328
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_6     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} .0018479{col 26}{space 2} .4125069{col 37}{space 1}    0.00{col 46}{space 3}0.996{col 54}{space 4}-.8066509{col 67}{space 3} .8103467
{txt}state_school {c |}{col 14}{res}{space 2}-.1399966{col 26}{space 2} .3865114{col 37}{space 1}   -0.36{col 46}{space 3}0.717{col 54}{space 4} -.897545{col 67}{space 3} .6175518
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.0741426{col 26}{space 2} .3972291{col 37}{space 1}   -0.19{col 46}{space 3}0.852{col 54}{space 4}-.8526972{col 67}{space 3} .7044121
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0488373{col 26}{space 2} .0254816{col 37}{space 1}   -1.92{col 46}{space 3}0.055{col 54}{space 4}-.0987803{col 67}{space 3} .0011057
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} .7092157{col 26}{space 2} .3843474{col 37}{space 1}    1.85{col 46}{space 3}0.065{col 54}{space 4}-.0440914{col 67}{space 3} 1.462523
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0633055{col 26}{space 2} 1.168133{col 37}{space 1}    0.05{col 46}{space 3}0.957{col 54}{space 4}-2.226193{col 67}{space 3} 2.352804
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_7     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.3407004{col 26}{space 2} .3800124{col 37}{space 1}   -0.90{col 46}{space 3}0.370{col 54}{space 4}-1.085511{col 67}{space 3} .4041101
{txt}state_school {c |}{col 14}{res}{space 2}-.4501398{col 26}{space 2} .3545683{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-1.145081{col 67}{space 3} .2448012
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1633274{col 26}{space 2} .3638744{col 37}{space 1}   -0.45{col 46}{space 3}0.654{col 54}{space 4}-.8765081{col 67}{space 3} .5498534
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0090326{col 26}{space 2}    .0183{col 37}{space 1}   -0.49{col 46}{space 3}0.622{col 54}{space 4}-.0448999{col 67}{space 3} .0268348
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-1.426861{col 26}{space 2} .4920947{col 37}{space 1}   -2.90{col 46}{space 3}0.004{col 54}{space 4}-2.391348{col 67}{space 3}-.4623727
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.3000209{col 26}{space 2}  .827334{col 37}{space 1}   -0.36{col 46}{space 3}0.717{col 54}{space 4}-1.921566{col 67}{space 3} 1.321524
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_ox_clust7.tex"'"':MPCareer_ox_clust7.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_ox_clust7.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1008.7102}  
Iteration 1:{space 3}log pseudolikelihood = {res: -979.5764}  
Iteration 2:{space 3}log pseudolikelihood = {res:-894.25933}  
Iteration 3:{space 3}log pseudolikelihood = {res:-872.04437}  
Iteration 4:{space 3}log pseudolikelihood = {res:-867.02226}  
Iteration 5:{space 3}log pseudolikelihood = {res:-866.69427}  
Iteration 6:{space 3}log pseudolikelihood = {res:-866.65513}  
Iteration 7:{space 3}log pseudolikelihood = {res:-866.64589}  
Iteration 8:{space 3}log pseudolikelihood = {res:-866.64368}  
Iteration 9:{space 3}log pseudolikelihood = {res:-866.64323}  
Iteration 10:{space 2}log pseudolikelihood = {res:-866.64316}  
Iteration 11:{space 2}log pseudolikelihood = {res:-866.64314}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       613
{txt}{col 49}Wald chi2({res}48{txt}){col 67}= {res}   2958.09
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-866.64314{txt}{col 49}Pseudo R2{col 67}= {res}    0.1408

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust7{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.5525675{col 26}{space 2}  .266402{col 37}{space 1}   -2.07{col 46}{space 3}0.038{col 54}{space 4}-1.074706{col 67}{space 3}-.0304291
{txt}state_school {c |}{col 14}{res}{space 2}-.3940835{col 26}{space 2} .2712883{col 37}{space 1}   -1.45{col 46}{space 3}0.146{col 54}{space 4}-.9257987{col 67}{space 3} .1376318
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1548694{col 26}{space 2}  .251071{col 37}{space 1}   -0.62{col 46}{space 3}0.537{col 54}{space 4}-.6469595{col 67}{space 3} .3372206
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0096974{col 26}{space 2} .0159127{col 37}{space 1}    0.61{col 46}{space 3}0.542{col 54}{space 4} -.021491{col 67}{space 3} .0408857
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.0241458{col 26}{space 2} .2775148{col 37}{space 1}   -0.09{col 46}{space 3}0.931{col 54}{space 4}-.5680647{col 67}{space 3} .5197732
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.3158336{col 26}{space 2} .4865945{col 37}{space 1}   -0.65{col 46}{space 3}0.516{col 54}{space 4}-1.269541{col 67}{space 3} .6378741
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.414433{col 26}{space 2} .2757223{col 37}{space 1}   -5.13{col 46}{space 3}0.000{col 54}{space 4}-1.954838{col 67}{space 3}-.8740271
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.0726206{col 26}{space 2} .6215559{col 37}{space 1}   -0.12{col 46}{space 3}0.907{col 54}{space 4}-1.290848{col 67}{space 3} 1.145606
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .3799078{col 26}{space 2} .7728217{col 37}{space 1}    0.49{col 46}{space 3}0.623{col 54}{space 4}-1.134795{col 67}{space 3} 1.894611
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} .3270247{col 26}{space 2} .5117225{col 37}{space 1}    0.64{col 46}{space 3}0.523{col 54}{space 4}-.6759329{col 67}{space 3} 1.329982
{txt}state_school {c |}{col 14}{res}{space 2}-.2393883{col 26}{space 2} .5207503{col 37}{space 1}   -0.46{col 46}{space 3}0.646{col 54}{space 4} -1.26004{col 67}{space 3} .7812636
{txt}{space 9}job {c |}{col 14}{res}{space 2} .1924258{col 26}{space 2} .5228633{col 37}{space 1}    0.37{col 46}{space 3}0.713{col 54}{space 4}-.8323675{col 67}{space 3} 1.217219
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0078844{col 26}{space 2} .0276663{col 37}{space 1}    0.28{col 46}{space 3}0.776{col 54}{space 4}-.0463406{col 67}{space 3} .0621093
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} .7881447{col 26}{space 2} .5377868{col 37}{space 1}    1.47{col 46}{space 3}0.143{col 54}{space 4} -.265898{col 67}{space 3} 1.842187
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 5.272217{col 26}{space 2} 1.046179{col 37}{space 1}    5.04{col 46}{space 3}0.000{col 54}{space 4} 3.221744{col 67}{space 3}  7.32269
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .8463548{col 26}{space 2} 1.125191{col 37}{space 1}    0.75{col 46}{space 3}0.452{col 54}{space 4}-1.358978{col 67}{space 3} 3.051688
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .3295162{col 26}{space 2} 1.223804{col 37}{space 1}    0.27{col 46}{space 3}0.788{col 54}{space 4}-2.069095{col 67}{space 3} 2.728127
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-4.826416{col 26}{space 2} 1.678449{col 37}{space 1}   -2.88{col 46}{space 3}0.004{col 54}{space 4}-8.116116{col 67}{space 3}-1.536716
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.7333979{col 26}{space 2} .6954067{col 37}{space 1}   -1.05{col 46}{space 3}0.292{col 54}{space 4} -2.09637{col 67}{space 3} .6295742
{txt}state_school {c |}{col 14}{res}{space 2} 1.068895{col 26}{space 2} .8246171{col 37}{space 1}    1.30{col 46}{space 3}0.195{col 54}{space 4} -.547325{col 67}{space 3} 2.685115
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.6492519{col 26}{space 2} .6787166{col 37}{space 1}   -0.96{col 46}{space 3}0.339{col 54}{space 4}-1.979512{col 67}{space 3} .6810081
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.1756907{col 26}{space 2} .0538173{col 37}{space 1}   -3.26{col 46}{space 3}0.001{col 54}{space 4}-.2811708{col 67}{space 3}-.0702107
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} 1.461416{col 26}{space 2} .5985939{col 37}{space 1}    2.44{col 46}{space 3}0.015{col 54}{space 4} .2881932{col 67}{space 3} 2.634638
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.5093514{col 26}{space 2} 1.172643{col 37}{space 1}   -0.43{col 46}{space 3}0.664{col 54}{space 4} -2.80769{col 67}{space 3} 1.788987
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-2.174032{col 26}{space 2} .7513135{col 37}{space 1}   -2.89{col 46}{space 3}0.004{col 54}{space 4} -3.64658{col 67}{space 3}-.7014849
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.0847601{col 26}{space 2} 1.099316{col 37}{space 1}   -0.08{col 46}{space 3}0.939{col 54}{space 4} -2.23938{col 67}{space 3}  2.06986
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.753298{col 26}{space 2} 2.125012{col 37}{space 1}    1.77{col 46}{space 3}0.077{col 54}{space 4}-.4116492{col 67}{space 3} 7.918246
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_5     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.9588319{col 26}{space 2} .2761159{col 37}{space 1}   -3.47{col 46}{space 3}0.001{col 54}{space 4}-1.500009{col 67}{space 3}-.4176547
{txt}state_school {c |}{col 14}{res}{space 2}-.3105944{col 26}{space 2} .2682525{col 37}{space 1}   -1.16{col 46}{space 3}0.247{col 54}{space 4}-.8363598{col 67}{space 3} .2151709
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1745301{col 26}{space 2} .2657353{col 37}{space 1}   -0.66{col 46}{space 3}0.511{col 54}{space 4}-.6953617{col 67}{space 3} .3463016
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0151957{col 26}{space 2}    .0158{col 37}{space 1}    0.96{col 46}{space 3}0.336{col 54}{space 4}-.0157718{col 67}{space 3} .0461631
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.2315776{col 26}{space 2}  .298848{col 37}{space 1}   -0.77{col 46}{space 3}0.438{col 54}{space 4}-.8173089{col 67}{space 3} .3541537
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.699683{col 26}{space 2} .6295496{col 37}{space 1}   -2.70{col 46}{space 3}0.007{col 54}{space 4}-2.933578{col 67}{space 3}-.4657887
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-2.050053{col 26}{space 2} .2837657{col 37}{space 1}   -7.22{col 46}{space 3}0.000{col 54}{space 4}-2.606224{col 67}{space 3}-1.493883
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.4949671{col 26}{space 2}   .64953{col 37}{space 1}   -0.76{col 46}{space 3}0.446{col 54}{space 4}-1.768023{col 67}{space 3} .7780883
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .556936{col 26}{space 2} .7940211{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-.9993168{col 67}{space 3} 2.113189
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_6     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} .1334566{col 26}{space 2} .4875213{col 37}{space 1}    0.27{col 46}{space 3}0.784{col 54}{space 4}-.8220675{col 67}{space 3} 1.088981
{txt}state_school {c |}{col 14}{res}{space 2}-.4290514{col 26}{space 2} .4215489{col 37}{space 1}   -1.02{col 46}{space 3}0.309{col 54}{space 4}-1.255272{col 67}{space 3} .3971692
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1357794{col 26}{space 2} .4274653{col 37}{space 1}   -0.32{col 46}{space 3}0.751{col 54}{space 4}-.9735961{col 67}{space 3} .7020373
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0446532{col 26}{space 2} .0239933{col 37}{space 1}   -1.86{col 46}{space 3}0.063{col 54}{space 4}-.0916792{col 67}{space 3} .0023729
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} .8920932{col 26}{space 2} .4221046{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0647833{col 67}{space 3} 1.719403
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 2.067749{col 26}{space 2} .5955534{col 37}{space 1}    3.47{col 46}{space 3}0.001{col 54}{space 4} .9004856{col 67}{space 3} 3.235012
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.6301647{col 26}{space 2}  .540552{col 37}{space 1}   -1.17{col 46}{space 3}0.244{col 54}{space 4}-1.689627{col 67}{space 3} .4292978
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} 1.010826{col 26}{space 2} .7286299{col 37}{space 1}    1.39{col 46}{space 3}0.165{col 54}{space 4}-.4172628{col 67}{space 3} 2.438914
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1242972{col 26}{space 2} 1.191693{col 37}{space 1}   -0.10{col 46}{space 3}0.917{col 54}{space 4}-2.459973{col 67}{space 3} 2.211379
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_7     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.8789072{col 26}{space 2} .4003793{col 37}{space 1}   -2.20{col 46}{space 3}0.028{col 54}{space 4}-1.663636{col 67}{space 3}-.0941781
{txt}state_school {c |}{col 14}{res}{space 2}-.9238655{col 26}{space 2} .4003439{col 37}{space 1}   -2.31{col 46}{space 3}0.021{col 54}{space 4}-1.708525{col 67}{space 3}-.1392059
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.3476483{col 26}{space 2} .3682167{col 37}{space 1}   -0.94{col 46}{space 3}0.345{col 54}{space 4} -1.06934{col 67}{space 3} .3740433
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0141099{col 26}{space 2} .0200273{col 37}{space 1}   -0.70{col 46}{space 3}0.481{col 54}{space 4}-.0533626{col 67}{space 3} .0251429
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-1.363744{col 26}{space 2} .5130167{col 37}{space 1}   -2.66{col 46}{space 3}0.008{col 54}{space 4}-2.369238{col 67}{space 3}-.3582497
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-2.020674{col 26}{space 2}  1.06051{col 37}{space 1}   -1.91{col 46}{space 3}0.057{col 54}{space 4}-4.099235{col 67}{space 3}  .057887
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.787303{col 26}{space 2}  .393309{col 37}{space 1}   -4.54{col 46}{space 3}0.000{col 54}{space 4}-2.558174{col 67}{space 3}-1.016432
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} -14.1747{col 26}{space 2} .5224281{col 37}{space 1}  -27.13{col 46}{space 3}0.000{col 54}{space 4}-15.19864{col 67}{space 3}-13.15076
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.369125{col 26}{space 2} .9543965{col 37}{space 1}    1.43{col 46}{space 3}0.151{col 54}{space 4}-.5014579{col 67}{space 3} 3.239708
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_ox_clust7.tex"'"':MPCareer_ox_clust7.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_ox_clust7.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1008.7102}  
Iteration 1:{space 3}log pseudolikelihood = {res:-608.55476}  
Iteration 2:{space 3}log pseudolikelihood = {res:-607.40136}  
Iteration 3:{space 3}log pseudolikelihood = {res:-517.46011}  
Iteration 4:{space 3}log pseudolikelihood = {res: -486.0757}  
Iteration 5:{space 3}log pseudolikelihood = {res: -473.9164}  
Iteration 6:{space 3}log pseudolikelihood = {res: -472.3027}  
Iteration 7:{space 3}log pseudolikelihood = {res:-471.92826}  
Iteration 8:{space 3}log pseudolikelihood = {res:-471.84324}  
Iteration 9:{space 3}log pseudolikelihood = {res:-471.82352}  
Iteration 10:{space 2}log pseudolikelihood = {res:-471.81932}  
Iteration 11:{space 2}log pseudolikelihood = {res:-471.81864}  
Iteration 12:{space 2}log pseudolikelihood = {res:-471.81856}  
Iteration 13:{space 2}log pseudolikelihood = {res:-471.81855}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       613
{txt}{col 49}Wald chi2({res}66{txt}){col 67}= {res}  44046.59
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-471.81855{txt}{col 49}Pseudo R2{col 67}= {res}    0.5323

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust7{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.2429787{col 26}{space 2}  .581268{col 37}{space 1}   -0.42{col 46}{space 3}0.676{col 54}{space 4}-1.382243{col 67}{space 3} .8962856
{txt}state_school {c |}{col 14}{res}{space 2}-1.217682{col 26}{space 2}  .511518{col 37}{space 1}   -2.38{col 46}{space 3}0.017{col 54}{space 4}-2.220238{col 67}{space 3}-.2151248
{txt}{space 9}job {c |}{col 14}{res}{space 2}  .585249{col 26}{space 2}  .573671{col 37}{space 1}    1.02{col 46}{space 3}0.308{col 54}{space 4}-.5391255{col 67}{space 3} 1.709624
{txt}age_at_entry {c |}{col 14}{res}{space 2} -.036713{col 26}{space 2} .0380511{col 37}{space 1}   -0.96{col 46}{space 3}0.335{col 54}{space 4}-.1112919{col 67}{space 3} .0378659
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} -1.22392{col 26}{space 2} .5196625{col 37}{space 1}   -2.36{col 46}{space 3}0.019{col 54}{space 4} -2.24244{col 67}{space 3}-.2054001
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.692736{col 26}{space 2} .8351988{col 37}{space 1}   -2.03{col 46}{space 3}0.043{col 54}{space 4}-3.329696{col 67}{space 3}-.0557768
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  -1.0205{col 26}{space 2} .5905116{col 37}{space 1}   -1.73{col 46}{space 3}0.084{col 54}{space 4}-2.177882{col 67}{space 3} .1368814
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.2357226{col 26}{space 2} 1.365673{col 37}{space 1}   -0.17{col 46}{space 3}0.863{col 54}{space 4}-2.912392{col 67}{space 3} 2.440947
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.3188018{col 26}{space 2} .6133401{col 37}{space 1}   -0.52{col 46}{space 3}0.603{col 54}{space 4}-1.520926{col 67}{space 3} .8833227
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 3.501802{col 26}{space 2} 1.035178{col 37}{space 1}    3.38{col 46}{space 3}0.001{col 54}{space 4} 1.472891{col 67}{space 3} 5.530713
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-20.82881{col 26}{space 2} .5944642{col 37}{space 1}  -35.04{col 46}{space 3}0.000{col 54}{space 4}-21.99394{col 67}{space 3}-19.66368
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}  4.43471{col 26}{space 2} 1.927884{col 37}{space 1}    2.30{col 46}{space 3}0.021{col 54}{space 4}  .656126{col 67}{space 3} 8.213293
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} .8475316{col 26}{space 2} .7257098{col 37}{space 1}    1.17{col 46}{space 3}0.243{col 54}{space 4}-.5748334{col 67}{space 3} 2.269897
{txt}state_school {c |}{col 14}{res}{space 2}-1.061037{col 26}{space 2} .6457514{col 37}{space 1}   -1.64{col 46}{space 3}0.100{col 54}{space 4}-2.326687{col 67}{space 3} .2046123
{txt}{space 9}job {c |}{col 14}{res}{space 2} .8015458{col 26}{space 2} .7261194{col 37}{space 1}    1.10{col 46}{space 3}0.270{col 54}{space 4} -.621622{col 67}{space 3} 2.224714
{txt}age_at_entry {c |}{col 14}{res}{space 2} -.051432{col 26}{space 2} .0421989{col 37}{space 1}   -1.22{col 46}{space 3}0.223{col 54}{space 4}-.1341403{col 67}{space 3} .0312762
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.2978422{col 26}{space 2} .6181311{col 37}{space 1}   -0.48{col 46}{space 3}0.630{col 54}{space 4}-1.509357{col 67}{space 3} .9136725
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 4.399575{col 26}{space 2} 1.168178{col 37}{space 1}    3.77{col 46}{space 3}0.000{col 54}{space 4} 2.109987{col 67}{space 3} 6.689162
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.841026{col 26}{space 2}  1.16936{col 37}{space 1}    1.57{col 46}{space 3}0.115{col 54}{space 4}-.4508783{col 67}{space 3} 4.132929
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.0016207{col 26}{space 2} 1.758896{col 37}{space 1}   -0.00{col 46}{space 3}0.999{col 54}{space 4}-3.448994{col 67}{space 3} 3.445752
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.2487765{col 26}{space 2} .7022188{col 37}{space 1}   -0.35{col 46}{space 3}0.723{col 54}{space 4}  -1.6251{col 67}{space 3} 1.127547
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.384597{col 26}{space 2} 1.223931{col 37}{space 1}    1.13{col 46}{space 3}0.258{col 54}{space 4}-1.014264{col 67}{space 3} 3.783458
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-19.17441{col 26}{space 2} .6672737{col 37}{space 1}  -28.74{col 46}{space 3}0.000{col 54}{space 4}-20.48225{col 67}{space 3}-17.86658
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .2501239{col 26}{space 2} 2.322521{col 37}{space 1}    0.11{col 46}{space 3}0.914{col 54}{space 4}-4.301934{col 67}{space 3} 4.802182
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.4795319{col 26}{space 2} .9368158{col 37}{space 1}   -0.51{col 46}{space 3}0.609{col 54}{space 4}-2.315657{col 67}{space 3} 1.356593
{txt}state_school {c |}{col 14}{res}{space 2} .6193218{col 26}{space 2} .9359655{col 37}{space 1}    0.66{col 46}{space 3}0.508{col 54}{space 4}-1.215137{col 67}{space 3}  2.45378
{txt}{space 9}job {c |}{col 14}{res}{space 2} .2434516{col 26}{space 2} .8779749{col 37}{space 1}    0.28{col 46}{space 3}0.782{col 54}{space 4}-1.477348{col 67}{space 3} 1.964251
{txt}age_at_entry {c |}{col 14}{res}{space 2} -.301289{col 26}{space 2} .0694338{col 37}{space 1}   -4.34{col 46}{space 3}0.000{col 54}{space 4}-.4373768{col 67}{space 3}-.1652011
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} .4033402{col 26}{space 2} .8056264{col 37}{space 1}    0.50{col 46}{space 3}0.617{col 54}{space 4}-1.175659{col 67}{space 3} 1.982339
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.631652{col 26}{space 2} 1.336324{col 37}{space 1}   -1.22{col 46}{space 3}0.222{col 54}{space 4}-4.250798{col 67}{space 3} .9874937
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.4282723{col 26}{space 2} .9818706{col 37}{space 1}   -0.44{col 46}{space 3}0.663{col 54}{space 4}-2.352703{col 67}{space 3} 1.496159
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.3785726{col 26}{space 2}  1.67533{col 37}{space 1}   -0.23{col 46}{space 3}0.821{col 54}{space 4}-3.662159{col 67}{space 3} 2.905013
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -2.16919{col 26}{space 2} 1.056392{col 37}{space 1}   -2.05{col 46}{space 3}0.040{col 54}{space 4} -4.23968{col 67}{space 3}   -.0987
{txt}{space 10}2  {c |}{col 14}{res}{space 2} -17.3313{col 26}{space 2} 1.196103{col 37}{space 1}  -14.49{col 46}{space 3}0.000{col 54}{space 4}-19.67561{col 67}{space 3}-14.98698
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-21.91505{col 26}{space 2} .8440781{col 37}{space 1}  -25.96{col 46}{space 3}0.000{col 54}{space 4}-23.56941{col 67}{space 3}-20.26069
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 11.51781{col 26}{space 2} 2.789573{col 37}{space 1}    4.13{col 46}{space 3}0.000{col 54}{space 4} 6.050345{col 67}{space 3} 16.98527
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_5     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.2127407{col 26}{space 2} .5657296{col 37}{space 1}   -0.38{col 46}{space 3}0.707{col 54}{space 4} -1.32155{col 67}{space 3} .8960689
{txt}state_school {c |}{col 14}{res}{space 2}-.8167217{col 26}{space 2} .4818446{col 37}{space 1}   -1.69{col 46}{space 3}0.090{col 54}{space 4} -1.76112{col 67}{space 3} .1276764
{txt}{space 9}job {c |}{col 14}{res}{space 2} .5492614{col 26}{space 2} .5406187{col 37}{space 1}    1.02{col 46}{space 3}0.310{col 54}{space 4}-.5103317{col 67}{space 3} 1.608854
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0579322{col 26}{space 2} .0365324{col 37}{space 1}   -1.59{col 46}{space 3}0.113{col 54}{space 4}-.1295344{col 67}{space 3} .0136701
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} -1.71711{col 26}{space 2} .5098026{col 37}{space 1}   -3.37{col 46}{space 3}0.001{col 54}{space 4}-2.716304{col 67}{space 3}-.7179151
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-2.394604{col 26}{space 2} .8497907{col 37}{space 1}   -2.82{col 46}{space 3}0.005{col 54}{space 4}-4.060163{col 67}{space 3}-.7290452
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.4177365{col 26}{space 2} .5517292{col 37}{space 1}   -0.76{col 46}{space 3}0.449{col 54}{space 4}-1.499106{col 67}{space 3} .6636329
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.3521932{col 26}{space 2} 1.326083{col 37}{space 1}   -0.27{col 46}{space 3}0.791{col 54}{space 4}-2.951268{col 67}{space 3} 2.246881
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1537706{col 26}{space 2} .5663106{col 37}{space 1}   -0.27{col 46}{space 3}0.786{col 54}{space 4}-1.263719{col 67}{space 3} .9561779
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-17.40211{col 26}{space 2} 1.027596{col 37}{space 1}  -16.93{col 46}{space 3}0.000{col 54}{space 4}-19.41616{col 67}{space 3}-15.38806
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -22.2315{col 26}{space 2}  .619725{col 37}{space 1}  -35.87{col 46}{space 3}0.000{col 54}{space 4}-23.44614{col 67}{space 3}-21.01687
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 6.030387{col 26}{space 2} 1.837431{col 37}{space 1}    3.28{col 46}{space 3}0.001{col 54}{space 4} 2.429089{col 67}{space 3} 9.631685
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_6     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}  .578649{col 26}{space 2}  .663445{col 37}{space 1}    0.87{col 46}{space 3}0.383{col 54}{space 4}-.7216794{col 67}{space 3} 1.878977
{txt}state_school {c |}{col 14}{res}{space 2}-1.047744{col 26}{space 2} .5893286{col 37}{space 1}   -1.78{col 46}{space 3}0.075{col 54}{space 4}-2.202807{col 67}{space 3} .1073183
{txt}{space 9}job {c |}{col 14}{res}{space 2} .3217357{col 26}{space 2} .6434587{col 37}{space 1}    0.50{col 46}{space 3}0.617{col 54}{space 4}-.9394203{col 67}{space 3} 1.582892
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.1012709{col 26}{space 2} .0435015{col 37}{space 1}   -2.33{col 46}{space 3}0.020{col 54}{space 4}-.1865323{col 67}{space 3}-.0160096
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.0375465{col 26}{space 2} .5716161{col 37}{space 1}   -0.07{col 46}{space 3}0.948{col 54}{space 4}-1.157893{col 67}{space 3} 1.082801
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .8827466{col 26}{space 2} .8794563{col 37}{space 1}    1.00{col 46}{space 3}0.316{col 54}{space 4} -.840956{col 67}{space 3} 2.606449
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.1541053{col 26}{space 2} .7266484{col 37}{space 1}   -0.21{col 46}{space 3}0.832{col 54}{space 4} -1.57831{col 67}{space 3} 1.270099
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .8323043{col 26}{space 2}  1.55562{col 37}{space 1}    0.54{col 46}{space 3}0.593{col 54}{space 4}-2.216654{col 67}{space 3} 3.881263
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2631565{col 26}{space 2} .7209501{col 37}{space 1}    0.37{col 46}{space 3}0.715{col 54}{space 4} -1.14988{col 67}{space 3} 1.676193
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 2.777575{col 26}{space 2} 1.156829{col 37}{space 1}    2.40{col 46}{space 3}0.016{col 54}{space 4} .5102315{col 67}{space 3} 5.044918
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-4.720782{col 26}{space 2} 1.129299{col 37}{space 1}   -4.18{col 46}{space 3}0.000{col 54}{space 4}-6.934167{col 67}{space 3}-2.507398
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.351722{col 26}{space 2} 2.182753{col 37}{space 1}    1.99{col 46}{space 3}0.046{col 54}{space 4} .0736057{col 67}{space 3} 8.629839
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_7     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} -.531307{col 26}{space 2}  .671762{col 37}{space 1}   -0.79{col 46}{space 3}0.429{col 54}{space 4}-1.847936{col 67}{space 3} .7853224
{txt}state_school {c |}{col 14}{res}{space 2}-1.718898{col 26}{space 2} .6259732{col 37}{space 1}   -2.75{col 46}{space 3}0.006{col 54}{space 4}-2.945783{col 67}{space 3}-.4920129
{txt}{space 9}job {c |}{col 14}{res}{space 2} .3530184{col 26}{space 2} .6575535{col 37}{space 1}    0.54{col 46}{space 3}0.591{col 54}{space 4}-.9357628{col 67}{space 3}   1.6418
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.1202576{col 26}{space 2} .0421895{col 37}{space 1}   -2.85{col 46}{space 3}0.004{col 54}{space 4}-.2029475{col 67}{space 3}-.0375677
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-3.381028{col 26}{space 2} .7337629{col 37}{space 1}   -4.61{col 46}{space 3}0.000{col 54}{space 4}-4.819177{col 67}{space 3}-1.942879
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-2.793251{col 26}{space 2} 1.186817{col 37}{space 1}   -2.35{col 46}{space 3}0.019{col 54}{space 4}-5.119371{col 67}{space 3}-.4671323
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .5900246{col 26}{space 2} .6653615{col 37}{space 1}    0.89{col 46}{space 3}0.375{col 54}{space 4}-.7140599{col 67}{space 3} 1.894109
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-17.19226{col 26}{space 2} 1.305782{col 37}{space 1}  -13.17{col 46}{space 3}0.000{col 54}{space 4}-19.75155{col 67}{space 3}-14.63298
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-19.77025{col 26}{space 2} .6682327{col 37}{space 1}  -29.59{col 46}{space 3}0.000{col 54}{space 4}-21.07997{col 67}{space 3}-18.46054
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-18.49115{col 26}{space 2} 1.114713{col 37}{space 1}  -16.59{col 46}{space 3}0.000{col 54}{space 4}-20.67595{col 67}{space 3}-16.30636
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -23.8196{col 26}{space 2} .8626361{col 37}{space 1}  -27.61{col 46}{space 3}0.000{col 54}{space 4}-25.51033{col 67}{space 3}-22.12886
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 8.903232{col 26}{space 2}  2.13696{col 37}{space 1}    4.17{col 46}{space 3}0.000{col 54}{space 4} 4.714867{col 67}{space 3}  13.0916
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_ox_clust7.tex"'"':MPCareer_ox_clust7.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_ox_clust7.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1104.9677}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1074.7914}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1066.9872}  
Iteration 3:{space 3}log pseudolikelihood = {res: -1066.684}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1066.6808}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1066.6808}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       613
{txt}{col 49}Wald chi2({res}35{txt}){col 67}= {res}     72.72
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0002
{txt}Log pseudolikelihood = {res}-1066.6808{txt}{col 49}Pseudo R2{col 67}= {res}    0.0346

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust8{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.3629069{col 26}{space 2} .3121446{col 37}{space 1}   -1.16{col 46}{space 3}0.245{col 54}{space 4}-.9746991{col 67}{space 3} .2488854
{txt}state_school {c |}{col 14}{res}{space 2}-.0115342{col 26}{space 2}  .303903{col 37}{space 1}   -0.04{col 46}{space 3}0.970{col 54}{space 4}-.6071731{col 67}{space 3} .5841048
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.4147724{col 26}{space 2} .3209704{col 37}{space 1}   -1.29{col 46}{space 3}0.196{col 54}{space 4}-1.043863{col 67}{space 3} .2143181
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0182422{col 26}{space 2}  .016737{col 37}{space 1}   -1.09{col 46}{space 3}0.276{col 54}{space 4}-.0510461{col 67}{space 3} .0145617
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.4405751{col 26}{space 2} .3512029{col 37}{space 1}   -1.25{col 46}{space 3}0.210{col 54}{space 4} -1.12892{col 67}{space 3}   .24777
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0814903{col 26}{space 2} .8141289{col 37}{space 1}    0.10{col 46}{space 3}0.920{col 54}{space 4}-1.514173{col 67}{space 3} 1.677154
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.3210354{col 26}{space 2} .4555513{col 37}{space 1}   -0.70{col 46}{space 3}0.481{col 54}{space 4}  -1.2139{col 67}{space 3} .5718287
{txt}state_school {c |}{col 14}{res}{space 2} .0250275{col 26}{space 2} .4139423{col 37}{space 1}    0.06{col 46}{space 3}0.952{col 54}{space 4}-.7862845{col 67}{space 3} .8363395
{txt}{space 9}job {c |}{col 14}{res}{space 2} .1569262{col 26}{space 2} .3860922{col 37}{space 1}    0.41{col 46}{space 3}0.684{col 54}{space 4}-.5998007{col 67}{space 3}  .913653
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0140309{col 26}{space 2} .0267701{col 37}{space 1}    0.52{col 46}{space 3}0.600{col 54}{space 4}-.0384375{col 67}{space 3} .0664993
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} .3988581{col 26}{space 2} .4089476{col 37}{space 1}    0.98{col 46}{space 3}0.329{col 54}{space 4}-.4026645{col 67}{space 3} 1.200381
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.524397{col 26}{space 2} 1.215342{col 37}{space 1}   -2.08{col 46}{space 3}0.038{col 54}{space 4}-4.906424{col 67}{space 3}-.1423707
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.2167369{col 26}{space 2} .6882111{col 37}{space 1}   -0.31{col 46}{space 3}0.753{col 54}{space 4}-1.565606{col 67}{space 3} 1.132132
{txt}state_school {c |}{col 14}{res}{space 2} 1.673857{col 26}{space 2} .8191204{col 37}{space 1}    2.04{col 46}{space 3}0.041{col 54}{space 4} .0684102{col 67}{space 3} 3.279303
{txt}{space 9}job {c |}{col 14}{res}{space 2} -.614527{col 26}{space 2} .6858729{col 37}{space 1}   -0.90{col 46}{space 3}0.370{col 54}{space 4}-1.958813{col 67}{space 3} .7297591
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.1866795{col 26}{space 2} .0594149{col 37}{space 1}   -3.14{col 46}{space 3}0.002{col 54}{space 4}-.3031306{col 67}{space 3}-.0702285
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} 1.291028{col 26}{space 2} .6118871{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0917514{col 67}{space 3} 2.490305
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.718005{col 26}{space 2} 2.206654{col 37}{space 1}    1.23{col 46}{space 3}0.218{col 54}{space 4}-1.606958{col 67}{space 3} 7.042967
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_5     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.0926857{col 26}{space 2} .3277724{col 37}{space 1}   -0.28{col 46}{space 3}0.777{col 54}{space 4}-.7351078{col 67}{space 3} .5497363
{txt}state_school {c |}{col 14}{res}{space 2} .0355131{col 26}{space 2} .3295421{col 37}{space 1}    0.11{col 46}{space 3}0.914{col 54}{space 4}-.6103775{col 67}{space 3} .6814037
{txt}{space 9}job {c |}{col 14}{res}{space 2} .3317605{col 26}{space 2} .3041689{col 37}{space 1}    1.09{col 46}{space 3}0.275{col 54}{space 4}-.2643996{col 67}{space 3} .9279206
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0420525{col 26}{space 2} .0202895{col 37}{space 1}    2.07{col 46}{space 3}0.038{col 54}{space 4} .0022858{col 67}{space 3} .0818193
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} .2116251{col 26}{space 2} .3413683{col 37}{space 1}    0.62{col 46}{space 3}0.535{col 54}{space 4}-.4574445{col 67}{space 3} .8806948
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.110718{col 26}{space 2} .9661183{col 37}{space 1}   -3.22{col 46}{space 3}0.001{col 54}{space 4}-5.004276{col 67}{space 3}-1.217161
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_6     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.4505151{col 26}{space 2} .2530382{col 37}{space 1}   -1.78{col 46}{space 3}0.075{col 54}{space 4}-.9464609{col 67}{space 3} .0454307
{txt}state_school {c |}{col 14}{res}{space 2} .2637211{col 26}{space 2} .2462795{col 37}{space 1}    1.07{col 46}{space 3}0.284{col 54}{space 4}-.2189778{col 67}{space 3}   .74642
{txt}{space 9}job {c |}{col 14}{res}{space 2}  .008958{col 26}{space 2} .2439683{col 37}{space 1}    0.04{col 46}{space 3}0.971{col 54}{space 4}-.4692111{col 67}{space 3} .4871271
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0184148{col 26}{space 2} .0142103{col 37}{space 1}    1.30{col 46}{space 3}0.195{col 54}{space 4}-.0094368{col 67}{space 3} .0462665
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} -.345767{col 26}{space 2} .2737691{col 37}{space 1}   -1.26{col 46}{space 3}0.207{col 54}{space 4}-.8823445{col 67}{space 3} .1908106
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.097746{col 26}{space 2} .6714213{col 37}{space 1}   -1.63{col 46}{space 3}0.102{col 54}{space 4}-2.413708{col 67}{space 3} .2182152
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_7     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} .0012811{col 26}{space 2} .4124108{col 37}{space 1}    0.00{col 46}{space 3}0.998{col 54}{space 4}-.8070291{col 67}{space 3} .8095913
{txt}state_school {c |}{col 14}{res}{space 2}-.1405509{col 26}{space 2} .3866843{col 37}{space 1}   -0.36{col 46}{space 3}0.716{col 54}{space 4}-.8984383{col 67}{space 3} .6173365
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.0774423{col 26}{space 2} .3986076{col 37}{space 1}   -0.19{col 46}{space 3}0.846{col 54}{space 4}-.8586988{col 67}{space 3} .7038141
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0490402{col 26}{space 2} .0257581{col 37}{space 1}   -1.90{col 46}{space 3}0.057{col 54}{space 4} -.099525{col 67}{space 3} .0014447
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} .7039351{col 26}{space 2} .3857351{col 37}{space 1}    1.82{col 46}{space 3}0.068{col 54}{space 4}-.0520918{col 67}{space 3} 1.459962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0752899{col 26}{space 2} 1.183968{col 37}{space 1}    0.06{col 46}{space 3}0.949{col 54}{space 4}-2.245245{col 67}{space 3} 2.395825
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_8     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.3410796{col 26}{space 2} .3795761{col 37}{space 1}   -0.90{col 46}{space 3}0.369{col 54}{space 4}-1.085035{col 67}{space 3}  .402876
{txt}state_school {c |}{col 14}{res}{space 2}-.4501082{col 26}{space 2} .3543542{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4} -1.14463{col 67}{space 3} .2444133
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1704529{col 26}{space 2} .3644612{col 37}{space 1}   -0.47{col 46}{space 3}0.640{col 54}{space 4}-.8847837{col 67}{space 3} .5438779
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0096808{col 26}{space 2} .0185003{col 37}{space 1}   -0.52{col 46}{space 3}0.601{col 54}{space 4}-.0459406{col 67}{space 3} .0265791
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} -1.42976{col 26}{space 2} .4918031{col 37}{space 1}   -2.91{col 46}{space 3}0.004{col 54}{space 4}-2.393676{col 67}{space 3}-.4658436
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.2696459{col 26}{space 2} .8384957{col 37}{space 1}   -0.32{col 46}{space 3}0.748{col 54}{space 4}-1.913067{col 67}{space 3} 1.373775
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_ox_clust8.tex"'"':MPCareer_ox_clust8.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_ox_clust8.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1104.9677}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1055.8637}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1051.0398}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1034.2994}  
Iteration 4:{space 3}log pseudolikelihood = {res:-973.09308}  
Iteration 5:{space 3}log pseudolikelihood = {res:-952.69996}  
Iteration 6:{space 3}log pseudolikelihood = {res:-944.47157}  
Iteration 7:{space 3}log pseudolikelihood = {res:-943.98954}  
Iteration 8:{space 3}log pseudolikelihood = {res:-943.94992}  
Iteration 9:{space 3}log pseudolikelihood = {res:-943.94665}  
Iteration 10:{space 2}log pseudolikelihood = {res:-943.94598}  
Iteration 11:{space 2}log pseudolikelihood = {res:-943.94587}  
Iteration 12:{space 2}log pseudolikelihood = {res:-943.94584}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       613
{txt}{col 49}Wald chi2({res}56{txt}){col 67}= {res}   4799.23
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-943.94584{txt}{col 49}Pseudo R2{col 67}= {res}    0.1457

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust8{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.5662627{col 26}{space 2} .3224362{col 37}{space 1}   -1.76{col 46}{space 3}0.079{col 54}{space 4}-1.198226{col 67}{space 3} .0657006
{txt}state_school {c |}{col 14}{res}{space 2}-.2059044{col 26}{space 2} .3282473{col 37}{space 1}   -0.63{col 46}{space 3}0.530{col 54}{space 4}-.8492574{col 67}{space 3} .4374485
{txt}{space 9}job {c |}{col 14}{res}{space 2} -.510267{col 26}{space 2} .3277199{col 37}{space 1}   -1.56{col 46}{space 3}0.119{col 54}{space 4}-1.152586{col 67}{space 3} .1320522
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0213626{col 26}{space 2}  .018025{col 37}{space 1}   -1.19{col 46}{space 3}0.236{col 54}{space 4}-.0566908{col 67}{space 3} .0139657
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.3789479{col 26}{space 2} .3560897{col 37}{space 1}   -1.06{col 46}{space 3}0.287{col 54}{space 4}-1.076871{col 67}{space 3} .3189751
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2919795{col 26}{space 2}  .527507{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.7419153{col 67}{space 3} 1.325874
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.8273263{col 26}{space 2} .3278223{col 37}{space 1}   -2.52{col 46}{space 3}0.012{col 54}{space 4}-1.469846{col 67}{space 3}-.1848064
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} -14.2791{col 26}{space 2} .4463487{col 37}{space 1}  -31.99{col 46}{space 3}0.000{col 54}{space 4}-15.15393{col 67}{space 3}-13.40427
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .8768625{col 26}{space 2} .9078755{col 37}{space 1}    0.97{col 46}{space 3}0.334{col 54}{space 4}-.9025408{col 67}{space 3} 2.656266
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} .3217805{col 26}{space 2} .5130067{col 37}{space 1}    0.63{col 46}{space 3}0.530{col 54}{space 4}-.6836942{col 67}{space 3} 1.327255
{txt}state_school {c |}{col 14}{res}{space 2}-.2274712{col 26}{space 2} .5247387{col 37}{space 1}   -0.43{col 46}{space 3}0.665{col 54}{space 4} -1.25594{col 67}{space 3} .8009977
{txt}{space 9}job {c |}{col 14}{res}{space 2} .1686276{col 26}{space 2} .5248414{col 37}{space 1}    0.32{col 46}{space 3}0.748{col 54}{space 4}-.8600427{col 67}{space 3} 1.197298
{txt}age_at_entry {c |}{col 14}{res}{space 2}  .005206{col 26}{space 2} .0277585{col 37}{space 1}    0.19{col 46}{space 3}0.851{col 54}{space 4}-.0491996{col 67}{space 3} .0596117
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} .7744431{col 26}{space 2} .5433272{col 37}{space 1}    1.43{col 46}{space 3}0.154{col 54}{space 4}-.2904586{col 67}{space 3} 1.839345
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 5.251732{col 26}{space 2} 1.048887{col 37}{space 1}    5.01{col 46}{space 3}0.000{col 54}{space 4} 3.195951{col 67}{space 3} 7.307513
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .8301514{col 26}{space 2} 1.129227{col 37}{space 1}    0.74{col 46}{space 3}0.462{col 54}{space 4}-1.383092{col 67}{space 3} 3.043395
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .2617603{col 26}{space 2} 1.260619{col 37}{space 1}    0.21{col 46}{space 3}0.836{col 54}{space 4}-2.209007{col 67}{space 3} 2.732528
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-4.686079{col 26}{space 2} 1.667858{col 37}{space 1}   -2.81{col 46}{space 3}0.005{col 54}{space 4}-7.955021{col 67}{space 3}-1.417137
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.7207155{col 26}{space 2} .6929244{col 37}{space 1}   -1.04{col 46}{space 3}0.298{col 54}{space 4}-2.078822{col 67}{space 3} .6373914
{txt}state_school {c |}{col 14}{res}{space 2} 1.054242{col 26}{space 2} .8265549{col 37}{space 1}    1.28{col 46}{space 3}0.202{col 54}{space 4}-.5657759{col 67}{space 3}  2.67426
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.6394767{col 26}{space 2} .6786366{col 37}{space 1}   -0.94{col 46}{space 3}0.346{col 54}{space 4} -1.96958{col 67}{space 3} .6906266
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.1747265{col 26}{space 2}   .05363{col 37}{space 1}   -3.26{col 46}{space 3}0.001{col 54}{space 4}-.2798393{col 67}{space 3}-.0696136
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} 1.475345{col 26}{space 2} .5992963{col 37}{space 1}    2.46{col 46}{space 3}0.014{col 54}{space 4} .3007458{col 67}{space 3} 2.649944
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.4648469{col 26}{space 2} 1.178667{col 37}{space 1}   -0.39{col 46}{space 3}0.693{col 54}{space 4}-2.774992{col 67}{space 3} 1.845299
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-2.159152{col 26}{space 2} .7507371{col 37}{space 1}   -2.88{col 46}{space 3}0.004{col 54}{space 4} -3.63057{col 67}{space 3}-.6877347
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.1040616{col 26}{space 2} 1.095523{col 37}{space 1}   -0.09{col 46}{space 3}0.924{col 54}{space 4}-2.251248{col 67}{space 3} 2.043125
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.706083{col 26}{space 2} 2.122398{col 37}{space 1}    1.75{col 46}{space 3}0.081{col 54}{space 4}-.4537393{col 67}{space 3} 7.865906
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_5     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.4820328{col 26}{space 2} .3551725{col 37}{space 1}   -1.36{col 46}{space 3}0.175{col 54}{space 4}-1.178158{col 67}{space 3} .2140924
{txt}state_school {c |}{col 14}{res}{space 2}-.6243034{col 26}{space 2} .3697686{col 37}{space 1}   -1.69{col 46}{space 3}0.091{col 54}{space 4}-1.349036{col 67}{space 3} .1004297
{txt}{space 9}job {c |}{col 14}{res}{space 2} .1771383{col 26}{space 2} .3174294{col 37}{space 1}    0.56{col 46}{space 3}0.577{col 54}{space 4}-.4450119{col 67}{space 3} .7992886
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0432617{col 26}{space 2} .0212884{col 37}{space 1}    2.03{col 46}{space 3}0.042{col 54}{space 4} .0015372{col 67}{space 3} .0849862
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} .3907967{col 26}{space 2}  .358322{col 37}{space 1}    1.09{col 46}{space 3}0.275{col 54}{space 4}-.3115016{col 67}{space 3} 1.093095
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.155603{col 26}{space 2} .7308865{col 37}{space 1}   -1.58{col 46}{space 3}0.114{col 54}{space 4}-2.588114{col 67}{space 3} .2769083
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-2.141663{col 26}{space 2} .3955416{col 37}{space 1}   -5.41{col 46}{space 3}0.000{col 54}{space 4} -2.91691{col 67}{space 3}-1.366415
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .7952096{col 26}{space 2} .6978014{col 37}{space 1}    1.14{col 46}{space 3}0.254{col 54}{space 4}-.5724561{col 67}{space 3} 2.162875
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.753727{col 26}{space 2} 1.000752{col 37}{space 1}   -1.75{col 46}{space 3}0.080{col 54}{space 4}-3.715165{col 67}{space 3} .2077097
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_6     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.9511497{col 26}{space 2} .2764772{col 37}{space 1}   -3.44{col 46}{space 3}0.001{col 54}{space 4}-1.493035{col 67}{space 3}-.4092644
{txt}state_school {c |}{col 14}{res}{space 2} -.330048{col 26}{space 2} .2704641{col 37}{space 1}   -1.22{col 46}{space 3}0.222{col 54}{space 4}-.8601479{col 67}{space 3}  .200052
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1497857{col 26}{space 2} .2663735{col 37}{space 1}   -0.56{col 46}{space 3}0.574{col 54}{space 4} -.671868{col 67}{space 3} .3722967
{txt}age_at_entry {c |}{col 14}{res}{space 2} .0172479{col 26}{space 2} .0160155{col 37}{space 1}    1.08{col 46}{space 3}0.282{col 54}{space 4}-.0141419{col 67}{space 3} .0486377
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.2028064{col 26}{space 2} .2997944{col 37}{space 1}   -0.68{col 46}{space 3}0.499{col 54}{space 4}-.7903927{col 67}{space 3} .3847799
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.699466{col 26}{space 2} .6301452{col 37}{space 1}   -2.70{col 46}{space 3}0.007{col 54}{space 4}-2.934528{col 67}{space 3}-.4644046
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-2.054735{col 26}{space 2}  .284472{col 37}{space 1}   -7.22{col 46}{space 3}0.000{col 54}{space 4} -2.61229{col 67}{space 3} -1.49718
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} -.433927{col 26}{space 2} .6605878{col 37}{space 1}   -0.66{col 46}{space 3}0.511{col 54}{space 4}-1.728655{col 67}{space 3} .8608013
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .4621383{col 26}{space 2} .7996587{col 37}{space 1}    0.58{col 46}{space 3}0.563{col 54}{space 4}-1.105164{col 67}{space 3} 2.029441
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_7     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} .1255128{col 26}{space 2} .4861734{col 37}{space 1}    0.26{col 46}{space 3}0.796{col 54}{space 4}-.8273696{col 67}{space 3} 1.078395
{txt}state_school {c |}{col 14}{res}{space 2}-.4296883{col 26}{space 2} .4240158{col 37}{space 1}   -1.01{col 46}{space 3}0.311{col 54}{space 4}-1.260744{col 67}{space 3} .4013673
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.1336238{col 26}{space 2} .4285515{col 37}{space 1}   -0.31{col 46}{space 3}0.755{col 54}{space 4}-.9735694{col 67}{space 3} .7063217
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0452271{col 26}{space 2} .0240749{col 37}{space 1}   -1.88{col 46}{space 3}0.060{col 54}{space 4} -.092413{col 67}{space 3} .0019588
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} .8961705{col 26}{space 2} .4228456{col 37}{space 1}    2.12{col 46}{space 3}0.034{col 54}{space 4} .0674083{col 67}{space 3} 1.724933
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 2.054514{col 26}{space 2} .5944313{col 37}{space 1}    3.46{col 46}{space 3}0.001{col 54}{space 4} .8894502{col 67}{space 3} 3.219578
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.6494045{col 26}{space 2} .5454653{col 37}{space 1}   -1.19{col 46}{space 3}0.234{col 54}{space 4}-1.718497{col 67}{space 3} .4196878
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .9816213{col 26}{space 2} .7324423{col 37}{space 1}    1.34{col 46}{space 3}0.180{col 54}{space 4}-.4539392{col 67}{space 3} 2.417182
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0861587{col 26}{space 2}  1.18457{col 37}{space 1}   -0.07{col 46}{space 3}0.942{col 54}{space 4}-2.407874{col 67}{space 3} 2.235556
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_8     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.8679799{col 26}{space 2} .4001683{col 37}{space 1}   -2.17{col 46}{space 3}0.030{col 54}{space 4}-1.652295{col 67}{space 3}-.0836644
{txt}state_school {c |}{col 14}{res}{space 2}-.9354833{col 26}{space 2} .4030451{col 37}{space 1}   -2.32{col 46}{space 3}0.020{col 54}{space 4}-1.725437{col 67}{space 3}-.1455294
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.3435653{col 26}{space 2} .3687131{col 37}{space 1}   -0.93{col 46}{space 3}0.351{col 54}{space 4} -1.06623{col 67}{space 3}  .379099
{txt}age_at_entry {c |}{col 14}{res}{space 2} -.013971{col 26}{space 2} .0202309{col 37}{space 1}   -0.69{col 46}{space 3}0.490{col 54}{space 4}-.0536228{col 67}{space 3} .0256808
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-1.349785{col 26}{space 2} .5109576{col 37}{space 1}   -2.64{col 46}{space 3}0.008{col 54}{space 4}-2.351243{col 67}{space 3}-.3483263
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-2.000073{col 26}{space 2} 1.059003{col 37}{space 1}   -1.89{col 46}{space 3}0.059{col 54}{space 4}-4.075681{col 67}{space 3} .0755338
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.773793{col 26}{space 2} .3946168{col 37}{space 1}   -4.49{col 46}{space 3}0.000{col 54}{space 4}-2.547228{col 67}{space 3}-1.000359
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-14.69828{col 26}{space 2} .5319529{col 37}{space 1}  -27.63{col 46}{space 3}0.000{col 54}{space 4}-15.74089{col 67}{space 3}-13.65568
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  1.35485{col 26}{space 2} .9594756{col 37}{space 1}    1.41{col 46}{space 3}0.158{col 54}{space 4}-.5256879{col 67}{space 3} 3.235387
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_ox_clust8.tex"'"':MPCareer_ox_clust8.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_ox_clust8.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1104.9677}  
Iteration 1:{space 3}log pseudolikelihood = {res:-670.62086}  
Iteration 2:{space 3}log pseudolikelihood = {res:-583.09776}  
Iteration 3:{space 3}log pseudolikelihood = {res:-528.84421}  
Iteration 4:{space 3}log pseudolikelihood = {res:-516.21473}  
Iteration 5:{space 3}log pseudolikelihood = {res:-513.93916}  
Iteration 6:{space 3}log pseudolikelihood = {res:-513.53615}  
Iteration 7:{space 3}log pseudolikelihood = {res:-513.44741}  
Iteration 8:{space 3}log pseudolikelihood = {res:-513.42502}  
Iteration 9:{space 3}log pseudolikelihood = {res:-513.42073}  
Iteration 10:{space 2}log pseudolikelihood = {res:-513.42004}  
Iteration 11:{space 2}log pseudolikelihood = {res:-513.41987}  
Iteration 12:{space 2}log pseudolikelihood = {res:-513.41984}  
Iteration 13:{space 2}log pseudolikelihood = {res:-513.41983}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       613
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(74)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-513.41983{txt}{col 49}Pseudo R2{col 67}= {res}    0.5354

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      clust8{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Career_1    {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_2     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.5060435{col 26}{space 2} .7426672{col 37}{space 1}   -0.68{col 46}{space 3}0.496{col 54}{space 4}-1.961645{col 67}{space 3} .9495575
{txt}state_school {c |}{col 14}{res}{space 2}-1.014585{col 26}{space 2} .6154071{col 37}{space 1}   -1.65{col 46}{space 3}0.099{col 54}{space 4}-2.220761{col 67}{space 3} .1915906
{txt}{space 9}job {c |}{col 14}{res}{space 2}-.0491085{col 26}{space 2} .6668007{col 37}{space 1}   -0.07{col 46}{space 3}0.941{col 54}{space 4}-1.356014{col 67}{space 3} 1.257797
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0455676{col 26}{space 2} .0469711{col 37}{space 1}   -0.97{col 46}{space 3}0.332{col 54}{space 4}-.1376293{col 67}{space 3} .0464941
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-1.551041{col 26}{space 2} .5755283{col 37}{space 1}   -2.69{col 46}{space 3}0.007{col 54}{space 4}-2.679056{col 67}{space 3}-.4230261
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.274111{col 26}{space 2}   .94522{col 37}{space 1}   -1.35{col 46}{space 3}0.178{col 54}{space 4}-3.126709{col 67}{space 3} .5784856
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.8802277{col 26}{space 2} .7212935{col 37}{space 1}   -1.22{col 46}{space 3}0.222{col 54}{space 4}-2.293937{col 67}{space 3} .5334817
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-18.51069{col 26}{space 2} 1.508131{col 37}{space 1}  -12.27{col 46}{space 3}0.000{col 54}{space 4}-21.46657{col 67}{space 3}-15.55481
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 18.06361{col 26}{space 2}  .543318{col 37}{space 1}   33.25{col 46}{space 3}0.000{col 54}{space 4} 16.99873{col 67}{space 3} 19.12849
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 21.87707{col 26}{space 2} .9660986{col 37}{space 1}   22.64{col 46}{space 3}0.000{col 54}{space 4} 19.98355{col 67}{space 3} 23.77059
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-3.719342{col 26}{space 2} .5188426{col 37}{space 1}   -7.17{col 46}{space 3}0.000{col 54}{space 4}-4.736255{col 67}{space 3}-2.702429
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} -13.6023{col 26}{space 2} 2.296637{col 37}{space 1}   -5.92{col 46}{space 3}0.000{col 54}{space 4}-18.10362{col 67}{space 3}-9.100972
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_3     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}  .825954{col 26}{space 2} .7390239{col 37}{space 1}    1.12{col 46}{space 3}0.264{col 54}{space 4}-.6225062{col 67}{space 3} 2.274414
{txt}state_school {c |}{col 14}{res}{space 2}-.9905526{col 26}{space 2} .6476411{col 37}{space 1}   -1.53{col 46}{space 3}0.126{col 54}{space 4}-2.259906{col 67}{space 3} .2788006
{txt}{space 9}job {c |}{col 14}{res}{space 2} .6426424{col 26}{space 2} .7241728{col 37}{space 1}    0.89{col 46}{space 3}0.375{col 54}{space 4}-.7767102{col 67}{space 3} 2.061995
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0558568{col 26}{space 2} .0420341{col 37}{space 1}   -1.33{col 46}{space 3}0.184{col 54}{space 4} -.138242{col 67}{space 3} .0265285
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.3437373{col 26}{space 2} .6207107{col 37}{space 1}   -0.55{col 46}{space 3}0.580{col 54}{space 4}-1.560308{col 67}{space 3} .8728333
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 4.349394{col 26}{space 2} 1.159725{col 37}{space 1}    3.75{col 46}{space 3}0.000{col 54}{space 4} 2.076374{col 67}{space 3} 6.622414
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.823734{col 26}{space 2} 1.181954{col 37}{space 1}    1.54{col 46}{space 3}0.123{col 54}{space 4}-.4928533{col 67}{space 3}  4.14032
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.3877012{col 26}{space 2} 1.950232{col 37}{space 1}   -0.20{col 46}{space 3}0.842{col 54}{space 4}-4.210085{col 67}{space 3} 3.434683
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -.200683{col 26}{space 2} .7075685{col 37}{space 1}   -0.28{col 46}{space 3}0.777{col 54}{space 4}-1.587492{col 67}{space 3} 1.186126
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.503003{col 26}{space 2} 1.182686{col 37}{space 1}    1.27{col 46}{space 3}0.204{col 54}{space 4} -.815019{col 67}{space 3} 3.821025
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-20.53387{col 26}{space 2} .6606264{col 37}{space 1}  -31.08{col 46}{space 3}0.000{col 54}{space 4}-21.82868{col 67}{space 3}-19.23907
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .4870184{col 26}{space 2} 2.310581{col 37}{space 1}    0.21{col 46}{space 3}0.833{col 54}{space 4}-4.041637{col 67}{space 3} 5.015673
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_4     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.4606859{col 26}{space 2} .9359946{col 37}{space 1}   -0.49{col 46}{space 3}0.623{col 54}{space 4}-2.295202{col 67}{space 3}  1.37383
{txt}state_school {c |}{col 14}{res}{space 2} .5861385{col 26}{space 2} .9442278{col 37}{space 1}    0.62{col 46}{space 3}0.535{col 54}{space 4}-1.264514{col 67}{space 3} 2.436791
{txt}{space 9}job {c |}{col 14}{res}{space 2} .2714883{col 26}{space 2}    .8754{col 37}{space 1}    0.31{col 46}{space 3}0.756{col 54}{space 4}-1.444264{col 67}{space 3} 1.987241
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.3006965{col 26}{space 2} .0695828{col 37}{space 1}   -4.32{col 46}{space 3}0.000{col 54}{space 4}-.4370762{col 67}{space 3}-.1643168
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2} .4480694{col 26}{space 2} .8093962{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-1.138318{col 67}{space 3} 2.034457
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-1.618287{col 26}{space 2} 1.337407{col 37}{space 1}   -1.21{col 46}{space 3}0.226{col 54}{space 4}-4.239558{col 67}{space 3} 1.002983
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.4666954{col 26}{space 2} .9893588{col 37}{space 1}   -0.47{col 46}{space 3}0.637{col 54}{space 4}-2.405803{col 67}{space 3} 1.472412
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.1712054{col 26}{space 2} 1.734332{col 37}{space 1}   -0.10{col 46}{space 3}0.921{col 54}{space 4}-3.570434{col 67}{space 3} 3.228023
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-2.220578{col 26}{space 2} 1.062808{col 37}{space 1}   -2.09{col 46}{space 3}0.037{col 54}{space 4}-4.303642{col 67}{space 3}-.1375131
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-18.41562{col 26}{space 2}  1.16076{col 37}{space 1}  -15.87{col 46}{space 3}0.000{col 54}{space 4}-20.69067{col 67}{space 3}-16.14057
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-22.48597{col 26}{space 2} .8337306{col 37}{space 1}  -26.97{col 46}{space 3}0.000{col 54}{space 4}-24.12006{col 67}{space 3}-20.85189
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 11.47813{col 26}{space 2} 2.791125{col 37}{space 1}    4.11{col 46}{space 3}0.000{col 54}{space 4} 6.007626{col 67}{space 3} 16.94863
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_5     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.1539621{col 26}{space 2} .6025574{col 37}{space 1}   -0.26{col 46}{space 3}0.798{col 54}{space 4}-1.334953{col 67}{space 3} 1.027029
{txt}state_school {c |}{col 14}{res}{space 2}-1.352507{col 26}{space 2} .5441066{col 37}{space 1}   -2.49{col 46}{space 3}0.013{col 54}{space 4}-2.418936{col 67}{space 3}-.2860773
{txt}{space 9}job {c |}{col 14}{res}{space 2} .8317482{col 26}{space 2} .5705497{col 37}{space 1}    1.46{col 46}{space 3}0.145{col 54}{space 4}-.2865087{col 67}{space 3} 1.950005
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0344884{col 26}{space 2} .0394029{col 37}{space 1}   -0.88{col 46}{space 3}0.381{col 54}{space 4}-.1117166{col 67}{space 3} .0427397
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-1.044748{col 26}{space 2} .5676596{col 37}{space 1}   -1.84{col 46}{space 3}0.066{col 54}{space 4}-2.157341{col 67}{space 3} .0678441
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-2.223395{col 26}{space 2}  .930153{col 37}{space 1}   -2.39{col 46}{space 3}0.017{col 54}{space 4}-4.046461{col 67}{space 3}-.4003285
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-1.207791{col 26}{space 2} .6449679{col 37}{space 1}   -1.87{col 46}{space 3}0.061{col 54}{space 4}-2.471905{col 67}{space 3} .0563233
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .5640838{col 26}{space 2} 1.431058{col 37}{space 1}    0.39{col 46}{space 3}0.693{col 54}{space 4}-2.240739{col 67}{space 3} 3.368906
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-2.281843{col 26}{space 2} .8943423{col 37}{space 1}   -2.55{col 46}{space 3}0.011{col 54}{space 4}-4.034722{col 67}{space 3}-.5289647
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 2.182844{col 26}{space 2} 1.008099{col 37}{space 1}    2.17{col 46}{space 3}0.030{col 54}{space 4} .2070074{col 67}{space 3} 4.158681
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-22.16165{col 26}{space 2}  .631679{col 37}{space 1}  -35.08{col 46}{space 3}0.000{col 54}{space 4}-23.39971{col 67}{space 3}-20.92358
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.271092{col 26}{space 2} 1.982375{col 37}{space 1}    2.15{col 46}{space 3}0.031{col 54}{space 4}  .385709{col 67}{space 3} 8.156475
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_6     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2}-.1788234{col 26}{space 2} .5689658{col 37}{space 1}   -0.31{col 46}{space 3}0.753{col 54}{space 4}-1.293976{col 67}{space 3} .9363291
{txt}state_school {c |}{col 14}{res}{space 2}-.8701496{col 26}{space 2} .4867917{col 37}{space 1}   -1.79{col 46}{space 3}0.074{col 54}{space 4}-1.824244{col 67}{space 3} .0839445
{txt}{space 9}job {c |}{col 14}{res}{space 2} .5833608{col 26}{space 2} .5303497{col 37}{space 1}    1.10{col 46}{space 3}0.271{col 54}{space 4}-.4561055{col 67}{space 3} 1.622827
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.0555873{col 26}{space 2} .0365081{col 37}{space 1}   -1.52{col 46}{space 3}0.128{col 54}{space 4}-.1271418{col 67}{space 3} .0159671
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-1.703323{col 26}{space 2} .5160104{col 37}{space 1}   -3.30{col 46}{space 3}0.001{col 54}{space 4}-2.714685{col 67}{space 3}-.6919616
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-2.383204{col 26}{space 2} .8377042{col 37}{space 1}   -2.84{col 46}{space 3}0.004{col 54}{space 4}-4.025074{col 67}{space 3}-.7413338
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.4327867{col 26}{space 2} .5595175{col 37}{space 1}   -0.77{col 46}{space 3}0.439{col 54}{space 4}-1.529421{col 67}{space 3} .6638474
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-.1498543{col 26}{space 2} 1.416951{col 37}{space 1}   -0.11{col 46}{space 3}0.916{col 54}{space 4}-2.927027{col 67}{space 3} 2.627318
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1701527{col 26}{space 2} .5668114{col 37}{space 1}   -0.30{col 46}{space 3}0.764{col 54}{space 4}-1.281083{col 67}{space 3} .9407772
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-18.59835{col 26}{space 2}  .984722{col 37}{space 1}  -18.89{col 46}{space 3}0.000{col 54}{space 4}-20.52837{col 67}{space 3}-16.66833
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-22.92155{col 26}{space 2} .6134198{col 37}{space 1}  -37.37{col 46}{space 3}0.000{col 54}{space 4}-24.12383{col 67}{space 3}-21.71927
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 5.932266{col 26}{space 2} 1.831116{col 37}{space 1}    3.24{col 46}{space 3}0.001{col 54}{space 4} 2.343344{col 67}{space 3} 9.521188
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_7     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} .5117201{col 26}{space 2} .6783297{col 37}{space 1}    0.75{col 46}{space 3}0.451{col 54}{space 4}-.8177817{col 67}{space 3} 1.841222
{txt}state_school {c |}{col 14}{res}{space 2}   -.9965{col 26}{space 2} .5887316{col 37}{space 1}   -1.69{col 46}{space 3}0.091{col 54}{space 4}-2.150393{col 67}{space 3} .1573928
{txt}{space 9}job {c |}{col 14}{res}{space 2} .1891485{col 26}{space 2}  .642312{col 37}{space 1}    0.29{col 46}{space 3}0.768{col 54}{space 4} -1.06976{col 67}{space 3} 1.448057
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.1040852{col 26}{space 2} .0434753{col 37}{space 1}   -2.39{col 46}{space 3}0.017{col 54}{space 4}-.1892952{col 67}{space 3}-.0188751
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-.1014284{col 26}{space 2} .5636989{col 37}{space 1}   -0.18{col 46}{space 3}0.857{col 54}{space 4}-1.206258{col 67}{space 3} 1.003401
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .9034649{col 26}{space 2} .8702707{col 37}{space 1}    1.04{col 46}{space 3}0.299{col 54}{space 4}-.8022343{col 67}{space 3} 2.609164
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.1401318{col 26}{space 2} .7576131{col 37}{space 1}   -0.18{col 46}{space 3}0.853{col 54}{space 4}-1.625026{col 67}{space 3} 1.344763
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2} .4369374{col 26}{space 2}   1.7525{col 37}{space 1}    0.25{col 46}{space 3}0.803{col 54}{space 4}-2.997899{col 67}{space 3} 3.871774
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2155714{col 26}{space 2} .7214396{col 37}{space 1}    0.30{col 46}{space 3}0.765{col 54}{space 4}-1.198424{col 67}{space 3} 1.629567
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 2.786273{col 26}{space 2} 1.103176{col 37}{space 1}    2.53{col 46}{space 3}0.012{col 54}{space 4} .6240881{col 67}{space 3} 4.948458
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-4.716493{col 26}{space 2} 1.138847{col 37}{space 1}   -4.14{col 46}{space 3}0.000{col 54}{space 4}-6.948592{col 67}{space 3}-2.484394
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.558391{col 26}{space 2} 2.176073{col 37}{space 1}    2.09{col 46}{space 3}0.036{col 54}{space 4} .2933665{col 67}{space 3} 8.823417
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Career_8     {txt}{c |}
{space 6}gender {c |}{col 14}{res}{space 2} -.489268{col 26}{space 2} .6759893{col 37}{space 1}   -0.72{col 46}{space 3}0.469{col 54}{space 4}-1.814183{col 67}{space 3} .8356466
{txt}state_school {c |}{col 14}{res}{space 2}-1.780043{col 26}{space 2} .6320905{col 37}{space 1}   -2.82{col 46}{space 3}0.005{col 54}{space 4}-3.018918{col 67}{space 3}-.5411684
{txt}{space 9}job {c |}{col 14}{res}{space 2} .4247459{col 26}{space 2} .6511309{col 37}{space 1}    0.65{col 46}{space 3}0.514{col 54}{space 4}-.8514472{col 67}{space 3} 1.700939
{txt}age_at_entry {c |}{col 14}{res}{space 2}-.1189208{col 26}{space 2} .0421628{col 37}{space 1}   -2.82{col 46}{space 3}0.005{col 54}{space 4}-.2015584{col 67}{space 3}-.0362831
{txt}{space 4}Oxbridge {c |}{col 14}{res}{space 2}-3.330686{col 26}{space 2} .7424638{col 37}{space 1}   -4.49{col 46}{space 3}0.000{col 54}{space 4}-4.785889{col 67}{space 3}-1.875484
{txt}{space 12} {c |}
{space 5}party_n {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-2.831896{col 26}{space 2} 1.165039{col 37}{space 1}   -2.43{col 46}{space 3}0.015{col 54}{space 4} -5.11533{col 67}{space 3}-.5484627
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .5466563{col 26}{space 2} .6732189{col 37}{space 1}    0.81{col 46}{space 3}0.417{col 54}{space 4}-.7728286{col 67}{space 3} 1.866141
{txt}{space 12} {c |}
{space 1}byelections {c |}{col 14}{res}{space 2}-17.83011{col 26}{space 2}  1.39989{col 37}{space 1}  -12.74{col 46}{space 3}0.000{col 54}{space 4}-20.57385{col 67}{space 3}-15.08638
{txt}{space 12} {c |}
{space 1}legislature {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-20.34473{col 26}{space 2} .6719467{col 37}{space 1}  -30.28{col 46}{space 3}0.000{col 54}{space 4}-21.66172{col 67}{space 3}-19.02774
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-19.54119{col 26}{space 2} 1.072044{col 37}{space 1}  -18.23{col 46}{space 3}0.000{col 54}{space 4}-21.64236{col 67}{space 3}-17.44003
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-24.39917{col 26}{space 2} .8631664{col 37}{space 1}  -28.27{col 46}{space 3}0.000{col 54}{space 4}-26.09095{col 67}{space 3} -22.7074
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 8.835181{col 26}{space 2} 2.133924{col 37}{space 1}    4.14{col 46}{space 3}0.000{col 54}{space 4} 4.652766{col 67}{space 3}  13.0176
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"MPCareer_ox_clust8.tex"'"':MPCareer_ox_clust8.tex}
{browse `"C:\Users\matiav\Documents\Conference and Publications\Research and Politics 1\1R&R\sequence analysis"' :dir}{com} : {txt}{stata `"seeout using "MPCareer_ox_clust8.txt", label"':seeout}

{com}. 
{txt}end of do-file

{com}. exit, clear
